Highlights:
* Presents results of an Ecofys study into Primary Energy Factor (PEF) calculation methods.
* Studied the extent to which the PEF can stimulate energy efficient buildings, the use of local renewables, and centralized renewable power.
* Demonstrates that those goals can oppose each other when defining the PEF calculation method.
* Warns that PEF calculation methods are not transparent, harmonised and consistent.
* Recommends re-evaluating PEF calculations at regular and timely intervals.
A new report just issued by the New England Coalition for Affordable Energy says New England is at a much greater risk for higher energy costs in the short-term because of lack of new pipelines.
Slide presentation from ISO New England CEO Gordon van Welie on the role of natural gas and pipelines for that gas and their importance to the electricity market in New England.
Remarks by ISO New England CEO Gordon van Welie on the role of natural gas and pipelines for that gas and their importance to the electricity market in New England.
The application and suitability of existing and new valves at various function points throughout the power generation system is outlined and explained. The paper does a good job of reducing the complicated issue into a few pages of direct understandable explanation.
A new report just issued by the New England Coalition for Affordable Energy says New England is at a much greater risk for higher energy costs in the short-term because of lack of new pipelines.
Slide presentation from ISO New England CEO Gordon van Welie on the role of natural gas and pipelines for that gas and their importance to the electricity market in New England.
Remarks by ISO New England CEO Gordon van Welie on the role of natural gas and pipelines for that gas and their importance to the electricity market in New England.
The application and suitability of existing and new valves at various function points throughout the power generation system is outlined and explained. The paper does a good job of reducing the complicated issue into a few pages of direct understandable explanation.
Kari Kankaanpää held a presentation on how Fortum Corporation manages its climate risksi at an event organised by Finsif, CDP and Sitra on 25 August 2015. The theme of the event was "Managing climate risk in investments".
With overall U.S energy consumption expected to increase 23 percent by 20301 and with growing
requirements for renewable energy, states are seeking to meet new demand with energy sources that are abundant, clean and cost-effective. Wind power
has become a popular clean energy choice due to its price and the distribution of wind resources across the nation. However, with more states requiring an increase in renewable energy production and serious consideration of a national renewable electricity standard growing in Congress, questions have arisen about how much wind power can be integrated into the U.S. energy supply.
This experimental work is looking at the properties of photovoltaic/thermal (PV-T) system, which had designed to increase the output power of the PV panel for the climate of Zarqa, Jordan. Operating temperature of the PV module has a significant impact on the performance of the PV module. However, most of the radiation energy absorbed by the PV panel is converted into heat, which is normally lost and provides no value. In order to decrease the operating temperature of the PV panel, a water cooling system with a control system had designed. Experimentally, when the PV module was operating under active water-cooling condition using the backside cooling technique, the temperature dropped significantly, which led to an increase in the electrical efficiency of solar cells by 6.86%.
This session is part of the Clean Energy Regulators Initiative Webinar Programme.
Theme 9 - Energy Access
Module 3: Integrated Rural Electrification
Not all energy supply solutions fit energy access needs, and supply is less than half of the equation. This session explains how market segmentation can target the right solutions to the right end users based on resources, geography, density, and demand. It encourages participants to assess how delivery of one energy service may facilitate delivery of complementary energy services for adjacent markets. The session also highlights the importance of cooperation in the planning stages and underlines the value of facilitating efficient and productive uses of electricity.
The energy efficient load is considered as an important tool for efficient management of available
electrical energy in Nigeria because it allows electricity utility to meet the power demand of many consumers
with little or no increase in power supply generation. This paper discusses the technical and economic benefit of
using energy efficient load for electrical services design considering a four-bedroom apartment in Nigeria as a
case study. Load analysis and evaluation were carried out using both conventional load and energy efficient load
for electrical services. The technical benefits were determined by calculating the total energy demand, apparent
power and current drawn by the four-bedroom apartment. Apparent power and current are important tools to
determine Transformer capacity, Cable capacity and Generator capacity for the apartment. The economic
benefits were determined by calculating the daily energy consumption by the four-bedroom apartment and this
is a great tool in computing the daily cost of electricity by the apartment. The result shows that 41.26% of total
energy demand is saved and 32.96% of daily energy consumption is saved if the energy efficient loads were
used as an alternative to conventional load for that four-bedroom apartment.
Comparison between the Energy Policies of Sweden and GermanHeather Troutman
Germany and Sweden are both members of the European Union (EU). Several policy measures of both countries are based on EU directives. The directive 2009/28/EC affects the renewable energy
development in both countries. This paper examines the different means of implementing this directive in the two countries and the effect the policy measures have had on residential electricity prices.
Equitable Net Zero and the All Electric Future Bronwyn Barry
Presentation delivered on April 26th, 2019, at the CABEC Conference in Asilomar. It looks at why we need to shift from current 'net zero' framework to one that connects directly to GHG outputs, and includes a few hot takes on where the current issues lie and how to fix them.
Webinar - Primary energy factors for electricity in buildingsLeonardo ENERGY
There is no unified approach in European regulation of how to calculate primary energy when assessing energy performance of buildings. Instead, member states can decide on their own method of calculation of primary energy. As the share of renewables will progress towards 2050, the primary energy factors for electricity in Europe will also be subject to changes over time.
Related to the energy performance of buildings, the question is in what way different (due to national electricity mix or methodology) and changing (due to increased share of renewable electricity) primary energy factors for electricity influence decisions on a political level and on a level of individual building designs, especially with regard to space heating options (gas vs. electricity). From a point of view of making the electricity supply more flexible, it could be desirable to increase the share of electricity for heating. The objective of this work was to assess to what extent this is stimulated (or hampered) by changing primary energy factors in building regulation of a number of countries.
Introductory comments on primary energy factors and the EPBD
Primary energy factors of seven countries in the EU: • France • Germany • The Netherlands • Poland • Spain • Sweden • UK
Primary energy factors estimated evolution at 2020 and 2050 horizons, using the same calculation methods for all countries, based on the energy sources that can be expected to be in the national mix of these countries in 2020 and 2050, according to different scenario’s.
Implications of changing primary energy factors for technologies used in the building sector and recommendations on how to deal with primary energy factors in the EPBD in the short term and the longer term.
Potential Energy Savings from the Increased Application of Heating Controls i...Leonardo ENERGY
Highlights:
* Heating system controls have a significant role to play in reducing household greenhouse gas emissions and energy bills
* They also contribute to European energy security through reduced household energy demand
* Annual energy savings are estimated over 50TWh in EU
* CO2 savings of nearly 12Mt per annum
* Nominal fuel bill savings of around €4.3 billion
From Brussels to Paris and Beyond - ON Energy Report November '15MSL
MSLGROUP's latest edition of ON Energy Report looks at the evolving European Energy landscape in the context of the forthcoming jamboree that is COP21. With carbon reduction at the top of the agenda, we take a look at some of the challenges and opportunities that we face, and some of the communications needs that the industry has to grapple with.
For future updates, please contact Nick Bastin, Partner, CNC and Head of MSLGROUP’s EMEA Energy Practice at nick.bastin@cnc-communications.com.
Do share your queries/feedback with our team at @CNC_comms or reach out to us on twitter @msl_group.
Kari Kankaanpää held a presentation on how Fortum Corporation manages its climate risksi at an event organised by Finsif, CDP and Sitra on 25 August 2015. The theme of the event was "Managing climate risk in investments".
With overall U.S energy consumption expected to increase 23 percent by 20301 and with growing
requirements for renewable energy, states are seeking to meet new demand with energy sources that are abundant, clean and cost-effective. Wind power
has become a popular clean energy choice due to its price and the distribution of wind resources across the nation. However, with more states requiring an increase in renewable energy production and serious consideration of a national renewable electricity standard growing in Congress, questions have arisen about how much wind power can be integrated into the U.S. energy supply.
This experimental work is looking at the properties of photovoltaic/thermal (PV-T) system, which had designed to increase the output power of the PV panel for the climate of Zarqa, Jordan. Operating temperature of the PV module has a significant impact on the performance of the PV module. However, most of the radiation energy absorbed by the PV panel is converted into heat, which is normally lost and provides no value. In order to decrease the operating temperature of the PV panel, a water cooling system with a control system had designed. Experimentally, when the PV module was operating under active water-cooling condition using the backside cooling technique, the temperature dropped significantly, which led to an increase in the electrical efficiency of solar cells by 6.86%.
This session is part of the Clean Energy Regulators Initiative Webinar Programme.
Theme 9 - Energy Access
Module 3: Integrated Rural Electrification
Not all energy supply solutions fit energy access needs, and supply is less than half of the equation. This session explains how market segmentation can target the right solutions to the right end users based on resources, geography, density, and demand. It encourages participants to assess how delivery of one energy service may facilitate delivery of complementary energy services for adjacent markets. The session also highlights the importance of cooperation in the planning stages and underlines the value of facilitating efficient and productive uses of electricity.
The energy efficient load is considered as an important tool for efficient management of available
electrical energy in Nigeria because it allows electricity utility to meet the power demand of many consumers
with little or no increase in power supply generation. This paper discusses the technical and economic benefit of
using energy efficient load for electrical services design considering a four-bedroom apartment in Nigeria as a
case study. Load analysis and evaluation were carried out using both conventional load and energy efficient load
for electrical services. The technical benefits were determined by calculating the total energy demand, apparent
power and current drawn by the four-bedroom apartment. Apparent power and current are important tools to
determine Transformer capacity, Cable capacity and Generator capacity for the apartment. The economic
benefits were determined by calculating the daily energy consumption by the four-bedroom apartment and this
is a great tool in computing the daily cost of electricity by the apartment. The result shows that 41.26% of total
energy demand is saved and 32.96% of daily energy consumption is saved if the energy efficient loads were
used as an alternative to conventional load for that four-bedroom apartment.
Comparison between the Energy Policies of Sweden and GermanHeather Troutman
Germany and Sweden are both members of the European Union (EU). Several policy measures of both countries are based on EU directives. The directive 2009/28/EC affects the renewable energy
development in both countries. This paper examines the different means of implementing this directive in the two countries and the effect the policy measures have had on residential electricity prices.
Equitable Net Zero and the All Electric Future Bronwyn Barry
Presentation delivered on April 26th, 2019, at the CABEC Conference in Asilomar. It looks at why we need to shift from current 'net zero' framework to one that connects directly to GHG outputs, and includes a few hot takes on where the current issues lie and how to fix them.
Webinar - Primary energy factors for electricity in buildingsLeonardo ENERGY
There is no unified approach in European regulation of how to calculate primary energy when assessing energy performance of buildings. Instead, member states can decide on their own method of calculation of primary energy. As the share of renewables will progress towards 2050, the primary energy factors for electricity in Europe will also be subject to changes over time.
Related to the energy performance of buildings, the question is in what way different (due to national electricity mix or methodology) and changing (due to increased share of renewable electricity) primary energy factors for electricity influence decisions on a political level and on a level of individual building designs, especially with regard to space heating options (gas vs. electricity). From a point of view of making the electricity supply more flexible, it could be desirable to increase the share of electricity for heating. The objective of this work was to assess to what extent this is stimulated (or hampered) by changing primary energy factors in building regulation of a number of countries.
Introductory comments on primary energy factors and the EPBD
Primary energy factors of seven countries in the EU: • France • Germany • The Netherlands • Poland • Spain • Sweden • UK
Primary energy factors estimated evolution at 2020 and 2050 horizons, using the same calculation methods for all countries, based on the energy sources that can be expected to be in the national mix of these countries in 2020 and 2050, according to different scenario’s.
Implications of changing primary energy factors for technologies used in the building sector and recommendations on how to deal with primary energy factors in the EPBD in the short term and the longer term.
Potential Energy Savings from the Increased Application of Heating Controls i...Leonardo ENERGY
Highlights:
* Heating system controls have a significant role to play in reducing household greenhouse gas emissions and energy bills
* They also contribute to European energy security through reduced household energy demand
* Annual energy savings are estimated over 50TWh in EU
* CO2 savings of nearly 12Mt per annum
* Nominal fuel bill savings of around €4.3 billion
From Brussels to Paris and Beyond - ON Energy Report November '15MSL
MSLGROUP's latest edition of ON Energy Report looks at the evolving European Energy landscape in the context of the forthcoming jamboree that is COP21. With carbon reduction at the top of the agenda, we take a look at some of the challenges and opportunities that we face, and some of the communications needs that the industry has to grapple with.
For future updates, please contact Nick Bastin, Partner, CNC and Head of MSLGROUP’s EMEA Energy Practice at nick.bastin@cnc-communications.com.
Do share your queries/feedback with our team at @CNC_comms or reach out to us on twitter @msl_group.
Le migliori pratiche europee per il risparmio energetico. Progetti e politiche dei Paesi Membri sono i protagonisti della Guida Europea per il Risparmio Energetico 2013.
Presentation J.W.M.M. Van Hellenberg Hubar Mid Term Colloquium 2011 07 13Jeroenvanhellenberghubar
The mid-term colloquium presentation of my graduation. The graduation theme is “Electrical and thermal energy balance analysis for an off-grid campground site”. The graduation research is performed at the Eindhoven University of Technology (TU/e) in the research group of prof.dr.ir Jan Hensen.
International energy partnership program manuscript instructions: case BulgariaSimeon Arnaudov
Green economic growth became slogan of thousands public and private activities, nevertheless there are arguments for switching to low-carbon, high-efficiency energy systems disregard enormous investment cost. Innovative energy technologies are able to reduce carbone emissions in aim to limit or avoid climate change directs the public debate. However renewable energy source reduced dependence on imported energy, suspension of conflicts over energy resources, and the increasing price of fossil fuels also are motivate actions. Nonetheless, the potential price and difficulty of doing the transition to a new energy system have brought forted essential opposition from fortified economic interests and consumers equally. In this paper we investigate whether and how photovoltaic power plants as case of renewable energy growing market as Bulgaria do, could become an economic occasion rather than a precious burden. Could a photovoltaic energy capacity induce net economic growth rather than social pay off burden? Analyzing foreign (Korean) direct investment as photovoltaic power plant case study as example of some successful or unsuccessful practices of rapidly growing domestic renewable market. Our aim is this paper to be useful to public or private energy communities in supporting them with professional renewable domestic market anatomy.
A fully renewable energy system, including all energy consuming sectors, is not only a possible but a viable solution for Finland, according to a new research. Researchers from LUT have investigated renewable energy system options for Finland in 2050. Results indicate that a fully renewable energy system is possible, and represents a competitive solution for Finland with careful planning.
The impact of energy-saving installations in European homes on the life cycle...Leonardo ENERGY
The energy-saving measures most often applied in homes relate to better insulation of the outer shell. Nevertheless, other technologies and installations can drastically drive down the energy consumption of a home. These include, amongst others, the solar boiler, heat pump, and integrated home system. Some of these less well-known techniques do even better than additional insulation, depending, of course, on the climate, the type of building (apartment or house), and the age of the building (new construction or renovation). Nevertheless, in these cases the additional investment has a short payback period and results in a lower home life cycle cost (LCC). That is the conclusion of a study carried out by PB calc & consult bvba for the European Copper Institute.
This report gives a summary of four cases from that study. For the solar boiler, we see an energy reduction of 10 to 15%. The LCC increases by 1% or falls by 4% over a period of thirty years, depending on the particular circumstances. A geothermal heat pump in northern Europe does very well, consuming 43% less energy and providing an LCC reduction of 17%. We also see that different configurations of integrated home systems to control the heating, cooling, and sun blinds always reduce energy consumption by between 5% and 21%. With controlled sun blinds, the LCC sometimes falls by 5% or rises by 13%, depending on the situation. Finally, automated standalone sun blinds are also examined. Here we see energy reductions of 3% to 15%. The LCC however is always higher (4% to 18%) compared to the reference building.
Subsidy schemes generally include incentives for insulating the outer shell even though this is not always the best—and certainly not the only—investment able to reduce energy consumption and the LCC. Other energy-saving installations and techniques deserve a place alongside the better known measures.
The role of electricity in heating and coolingLeonardo ENERGY
Following the European Commission’s Heating & Cooling Strategy Consultation Forum, held in Brussels on September 9th, very significant opportunities exist within the heating and cooling sector to better connect the EU’s electricity and thermal energy markets.
The use of electricity in heating and cooling helps to increase the penetration of renewables, improve efficiency, lower carbon emissions and save significant investment costs in renewables integration. However, crucial to these uses is the promotion of efficient electrothermal technologies.
Study about Germany’s efforts to implement the energy transition is summarized in the book “Energy Transition in Nutshell: 8 Q & A on the German Energy Transition and Its Relevance for Indonesia”
Second Stakeholder Event for the Revision of Directive (REDII) 2018/2001
Session 2 Renewable energy in Heating and Cooling, Buildings and District Heating
Professor Brian Vad Mathiesen, Aalborg University
March 22, 2021, Brussels - Online
A new generation of instruments and tools to monitor buildings performanceLeonardo ENERGY
What is the added value of monitoring the flexibility, comfort, and well-being of a building? How can occupants be better informed about the performance of their building? And how to optimize a building's maintenance?
The slides were presented during a webinar and roundtable with a focus on a new generation of instruments and tools to monitor buildings' performance, and their link with the Smart Readiness Indicator (SRI) for buildings as introduced in the EU's Energy Performance of Buildings Directive (EPBD).
Link to the recordings: https://youtu.be/ZCFhmldvRA0
Addressing the Energy Efficiency First Principle in a National Energy and Cli...Leonardo ENERGY
When designing energy and climate policies, EU Member States have to apply the Energy Efficiency First Principle: priority should be given to measures reducing energy consumption before other decarbonization interventions are adopted. This webinar summarizes elements of the energy and climate policy of Cyprus illustrating how national authorities have addressed this principle so far, and outline challenges towards its much more rigorous implementation that is required in the coming years.
Auctions for energy efficiency and the experience of renewablesLeonardo ENERGY
Auctions are an emerging market-based policy instrument to promote energy efficiency that has started to gain traction in the EU and worldwide. This presentation provides an overview and comparison of several energy efficiency auctions and derives conclusions on the effects of design elements based on auction theory and on experiences of renewable energy auctions. We include examples from energy efficiency auctions in Brazil, Canada, Germany, Portugal, Switzerland, Taiwan, UK, and US.
A recording of this presentation can be viewed at:
https://youtu.be/aC0h4cXI9Ug
Energy efficiency first – retrofitting the building stock finalLeonardo ENERGY
Retrofitting the building stock is a challenging undertaking in many respects - including costs. Can it nevertheless qualify as a measure under the Energy Efficiency First principle? Which methods can be applied for the assessment and what are the results in terms of the cost-effectiveness of retrofitting the entire residential building stock? How do the results differ for minimization of energy use, CO2 emissions and costs? And which policy conclusions can be drawn?
This presentation was used during the 18th webinar in the Odyssee-Mure on Energy Efficiency Academy on February 3, 2022.
A link to the recording: https://youtu.be/4pw_9hpA_64
How auction design affects the financing of renewable energy projects Leonardo ENERGY
Recording available at https://youtu.be/lPT1o735kOk
Renewable energy auctions might affect the financing of renewable energy (RE) projects. This webinar presents the results of the AURES II project exploring this topic. It discusses how auction designs ranging from bid bonds to penalties and remuneration schemes impact financing and discusses creating a low-risk auction support framework.
This presentation discusses the contribution of Energy Efficiency Funds to the financing of energy efficiency in Europe. The analysis is based on the MURE database on energy efficiency policies. As an example, the German Energy Efficiency Fund is described in more detail.
This is the 17th webinar in the Odyssee-Mure on Energy Efficiency Academy.
Recordings are available on: https://youtu.be/KIewOQCgQWQ
(see updated version of this presentation:
https://www.slideshare.net/sustenergy/energy-efficiency-funds-in-europe-updated)
The Energy Efficiency First Principle is a key pillar of the European Green Deal. A prerequisite for its widespread application is to secure financing for energy efficiency investments.
This presentation discusses the contribution of Energy Efficiency Funds to the financing of energy efficiency in Europe. The analysis is based on the MURE database on energy efficiency policies. As an example, the German Energy Efficiency Fund is described in more detail.
This is the 17th webinar in the Odyssee-Mure on Energy Efficiency Academy.
Recordings are available on: https://youtu.be/KIewOQCgQWQ
Five actions fit for 55: streamlining energy savings calculationsLeonardo ENERGY
During the first year of the H2020 project streamSAVE, multiple activities were organized to support countries in developing savings estimations under Art.3 and Art.7 of the Energy Efficiency Directive (EED).
A fascinating output of the project so far is the “Guidance on Standardized saving methodologies (energy, CO2 and costs)” for a first round of five so-called Priority Actions. This Guidance will assist EU member states in more accurately calculating savings for a set of new energy efficiency actions.
This webinar presents this Guidance and other project findings to the broader community, including industry and markets.
AGENDA
14:00 Introduction to streamSAVE
(Nele Renders, Project Coordinator)
14:10 Views from the EU Commission and the link with Fit-for-55 (Anne-Katherina Weidenbach, DG ENER)
14:20 The streamSAVE guidance and its platform illustrated (Elisabeth Böck, AEA)
14:55 A view from industry: What is the added value of streamSAVE (standardized) methods in frame of the EED (Conor Molloy, AEMS ECOfleet)
14:55 Country experiences: the added value of standardized methods (Elena Allegrini, ENEA, Italy)
The recordings of the webinar can be found on https://youtu.be/eUht10cUK1o
This webinar analyses energy efficiency trends in the EU for the period 2014-2019 and the impact of COVID-19 in 2020 (based on estimates from Enerdata).
The speakers present the overall trend in total energy supply and in final energy consumption, as well as details by sector, alongside macro-economic data. They will explain the main drivers of the variation in energy consumption since 2014 and determine the impact of energy savings.
Speakers:
Laura Sudries, Senior Energy Efficiency Analyst, Enerdata
Bruno Lapillonne, Scientific Director, Enerdata
The recordings of the presentation (webinar) can be viewed at:
https://youtu.be/8RuK5MroTxk
Energy and mobility poverty: Will the Social Climate Fund be enough to delive...Leonardo ENERGY
Prior to the current soaring energy prices across Europe, the European Commission proposed, as part of the FitFor55 climate and energy package, the EU Social Climate Fund to mitigate the expected social impact of extending the EU ETS to transport and heating.
The report presented in this webinar provides an update of the European Energy Poverty Index, published for the first time in 2019, which shows the combined effect of energy and mobility poverty across Member States. Beyond the regular update of the index, the report provides analysis of the existing EU policy framework related to energy and transport poverty. France is used as a case study given the “yellow vest” movement, which was triggered by the proposed carbon tax on fuels.
Watch the recordings of the webinar:
https://youtu.be/i1Jdd3H05t0
Does the EU Emission Trading Scheme ETS Promote Energy Efficiency?Leonardo ENERGY
This policy brief analyzes the main interacting mechanisms between the Energy Efficiency Directive (EED) and the EU Emission Trading Scheme (ETS). It presents a detailed top-down approach, based on the ODYSSEE energy indicators, to identify energy savings from the EU ETS.
The main task consists in isolating those factors that contribute to the change in energy consumption of industrial branches covered by the EU ETS, and the energy transformation sector (mainly the electricity sector).
Speaker:
Wolfgang Eichhammer (Head of the Competence Center Energy Policy and Energy Markets @Fraunhofer Institute for Systems and Innovation Research ISI)
The recordings of this webinar can be watched via:
https://youtu.be/TS6PxIvtaKY
Energy efficiency, structural change and energy savings in the manufacturing ...Leonardo ENERGY
The first part of the presentations presents the energy efficiency improvements in the manufacturing sector since 2000, and the role of structural change between the different branches and energy savings. It will compare the improvements in Denmark and other countries with EU average. This part is based on ODYSSEE data.
The second part of the presentation presents the development in Denmark in more detail, and it will compare the energy efficiency improvement, corrected for structural change, with the reported savings from the Energy Efficiency Obligation Scheme.
Recordings of the live webinar are on https://youtu.be/VVAdw_CS51A
Energy Sufficiency Indicators and Policies (Lea Gynther, Motiva)Leonardo ENERGY
This policy brief looks at questions ‘how to measure energy sufficiency’, ‘which policies and measures can be used to address energy sufficiency’ and ‘how they are used in Europe today’.
Energy sufficiency refers to a situation where everyone has access to the energy services they need, whilst the impacts of the energy system do not exceed environmental limits. The level of ambition needed to address energy sufficiency is higher than in the case of energy efficiency.
This is the 13th edition of the Odyssee-Mure on Energy Efficiency Academy, and number 519 in the Leonardo ENERGY series. The recording of the live presentation can be found on https://www.youtube.com/watch?v=jEAdYbI0wDI&list=PLUFRNkTrB5O_V155aGXfZ4b3R0fvT7sKz
The Super-efficient Equipment and Appliance Deployment (SEAD) Initiative Prod...Leonardo ENERGY
The Super-efficient Equipment and Appliance Deployment (SEAD) Initiative Product Efficiency Call to Action, by Melanie Slade - IEA and Nicholas Jeffrey - UK BEIS
Many ways to support street children.pptxSERUDS INDIA
By raising awareness, providing support, advocating for change, and offering assistance to children in need, individuals can play a crucial role in improving the lives of street children and helping them realize their full potential
Donate Us
https://serudsindia.org/how-individuals-can-support-street-children-in-india/
#donatefororphan, #donateforhomelesschildren, #childeducation, #ngochildeducation, #donateforeducation, #donationforchildeducation, #sponsorforpoorchild, #sponsororphanage #sponsororphanchild, #donation, #education, #charity, #educationforchild, #seruds, #kurnool, #joyhome
ZGB - The Role of Generative AI in Government transformation.pdfSaeed Al Dhaheri
This keynote was presented during the the 7th edition of the UAE Hackathon 2024. It highlights the role of AI and Generative AI in addressing government transformation to achieve zero government bureaucracy
What is the point of small housing associations.pptxPaul Smith
Given the small scale of housing associations and their relative high cost per home what is the point of them and how do we justify their continued existance
Understanding the Challenges of Street ChildrenSERUDS INDIA
By raising awareness, providing support, advocating for change, and offering assistance to children in need, individuals can play a crucial role in improving the lives of street children and helping them realize their full potential
Donate Us
https://serudsindia.org/how-individuals-can-support-street-children-in-india/
#donatefororphan, #donateforhomelesschildren, #childeducation, #ngochildeducation, #donateforeducation, #donationforchildeducation, #sponsorforpoorchild, #sponsororphanage #sponsororphanchild, #donation, #education, #charity, #educationforchild, #seruds, #kurnool, #joyhome
3. 13 September 2011 PSTRNL111077 i
A SUSTAINABLE ENERGY SUPPLY FOR EVERYONE
Foreword
Utrecht, 11 July 2011
The authors wish to express their thanks to a number of people who have contributed
to the gathering of country information regarding the primary energy factor:
Ronald Voskens Eco-Creations
Marynka Szweykowska-Muradin and Henryk Gaj Primum Polska
Wolfram Trinius Büro Trinius
Jean Robert Millet CSTB, France
4. ii | PSTRNL111077 13
September 2011
A SUSTAINABLE ENERGY SUPPLY FOR EVERYONE
Summary
There is no unified approach in European regulations regarding how to calculate
primary energy when assessing energy performance of buildings. Each member state
can select whatever method of calculating primary energy they wish. The fact that the
primary energy factors for electricity in Europe will also be subject to changes as the
share of renewables progresses towards 2050, adds to the problem of assessing
building performance.
Different national electricity mixes, calculation methodologies, and a constantly
evolving share of renewable electricity raise questions regarding how primary energy
factors influence political and building design decisions. Evaluating the energy
performance of buildings becomes problematic, particularly in regards to space
heating (gas vs. electricity). Making the electricity supply more flexible is also an
important argument. For this reason, it can be desirable to increase the share of
electricity for heating. The goal of this paper is to assess the effect of changing
primary energy factors on the building practices in European countries.
According to the national building regulations of seven countries, the following Primary
Energy Factors (PEFs) for delivery of electricity to a building or project have been
found:
France Germany NL Poland Spain Sweden UK
PEF 2.58 2.6 2.56 3 2.6 2 2.92
The PEF for the majority of countries is approximately 2.6. The only countries at
present with a renewable electricity share that is large enough to significantly
influence the PEF are Spain and Sweden. Spain uses a PEF of 2.6, which is much
higher than expected. Based on a calculated value with a weighting factor for nuclear
equal to 3 and renewables equal to 1, one would expect a PEF of 2.0. For Sweden, the
calculated PEF based on a factor for renewables varying from 0 to 1 and the factor for
nuclear of 3 would be 1.6 to 2.1.
Most countries take renewable energy into account as non-zero, even though it is not
clear what number is used and the exact algorithm is not known. There are clear
indications for France, the Netherlands, and Sweden that the PEF does not arise purely
from scientific arguments and a clear algorithm. If we assume the factor for
renewables to be 1, the primary energy factors will converge to 1 as the penetration
of renewables increases as 2050 approaches. Our own calculations show that by 2020,
however, the factors for most countries are still expected to hover around 2 (or 2.5 to
3 in the case of Poland).
If the PEFs are adjusted downwards—recognizing the increasing renewable electricity
share in the national mix—it could influence the balance between the share for electric
5. 13 September 2011 PSTRNL111077 iii
A SUSTAINABLE ENERGY SUPPLY FOR EVERYONE
heating versus other methods of heating. It could, for example, provide a positive
additional impulse for heat pumps. However, lower PEFs could also result in a
decreased stimulus to make building-related electricity consumption, such as for
lighting, ventilation, or air conditioning, more efficient.
Since the countries investigated have chosen not to differentiate between the PEF for
delivered and produced electricity, they therefore give a maximum benefit to
renewables on-site, as this method enables the subtraction of renewable electricity
from the electricity demand.
Assuming that countries retain the coupling between the PEF for delivered electricity
and produced electricity (and thereby lowering PEFs for delivered electricity and for
produced electricity), the result would give on-site renewable electricity less impact on
improving energy performance (to the same extent that the impact of electricity
consumption will be less). This is unlikely to affect the development of such
renewables however, as adequate financial support mechanisms are in place for small-
scale systems in many countries.
Primary Energy Factors are not based entirely on scientific arguments and clear
algorithms. Given the significant changes ahead in electricity supply, the PEF for
electricity should be regularly revised and its method of calculation clearly
documented and eventually harmonized. This provides the opportunity to present
arguments to national discussions for establishing PEFs.
For most current calculation methods, a low PEF has a negative effect in that it
reduces the stimulus for greater efficiency. Even though minimum requirements on
energy efficiency of building – related consumption are already regulated through the
ErP Directive, there is no stimulus for choosing the most efficient solution other than
through building performance regulations. However, this can be avoided if the
calculations for demand are separated from the calculations for supply, as has been
proposed in the discussion of the calculations for determining Zero Energy Buildings.
We also briefly discuss which building-related electricity demand options can positively
influence the flexibility of the electricity supply. The discussion on flexibility has a
demand side management component, but it is not dominated by this component1
. A
topic worth further study is the extent to which increased flexibility of the electricity
supply through incorporation of heat pumps can be a driver.
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The following recommendations are made based on the above results:
With the strong move toward zero energy buildings, there is a case for taking
appliances into account in the electricity demand. This would give more reward
for on-site renewable electricity, since it would more than double the electricity
demand and enable compensation of this demand through renewable
electricity.
It is worthwhile to take a closer look at calculation methods for zero energy
buildings, as they may provide new ways of calculating a building‘s energy
performance that do not have the negative effects of lower PEFs. For non-
ZEBs, special care is necessary to ensure that low PEFs do not lead to lower
energy efficiency.
For countries that use much higher PEFs than calculated, based on their
national electricity mix (such as Sweden and Spain in this study), more work
should be done to determine the details of the decision making process for the
PEFs used in the past and those to be used in the future.
Considering the rapid evolution of the electricity system, PEFs need regular
revision, i.e. every 3 to 5 years.
PEFs are used as a political factor, with sometimes unclear calculation methods.
As a minimum, the calculation method to produce a PEF should be
documented, especially for renewable electricity systems.
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Table of contents
1 Introduction ............................................................................................. 1
2 The EPBD and primary energy factors ...................................................... 3
2.1 Introduction .......................................................................................... 3
2.2 EN 15603 ............................................................................................. 4
3 National primary energy factors ............................................................... 7
3.1 Method................................................................................................. 7
3.2 Results ................................................................................................. 7
3.3 The algorithm........................................................................................ 7
4 Developments electricity mix until 2050................................................. 11
4.1 Methodology ........................................................................................11
4.2 NREAPs and scenarios as basis ...............................................................11
4.3 Development of the electricity mix..........................................................12
4.4 Development of primary energy factors ...................................................13
5 Implications for technologies used in the building sector....................... 16
5.1 From the previous chapters....................................................................16
5.2 Implications for technology choices.........................................................17
5.3 A flexible electricity mix.........................................................................18
5.4 Outlook for PEFs ...................................................................................19
6 Conclusions and recommendations......................................................... 21
Appendix A Primary Energy Factor—the Netherlands .............................. 23
A 1 Value used for electricity generation........................................................23
A 2 Algorithm and assumptions used for value parameters ..............................23
Appendix B Primary Energy Factor—the UK ............................................. 25
B 1 Value used for electricity generation........................................................25
B 2 Algorithm and assumptions used for value parameters ..............................25
Appendix C Primary Energy Factor—Germany ......................................... 29
C 1 Value used for electricity generation........................................................29
C 2 Algorithm and assumptions used for value parameters ..............................29
Appendix D Primary Energy Factor—Poland............................................. 31
D 1 Value used for electricity generation........................................................31
D 2 Algorithm and assumptions used for value parameters ..............................31
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Appendix E Primary Energy Factor—Spain............................................... 33
E 1 Primary energy factors used in building regulations...................................33
E 2 Spanish energy mix ..............................................................................34
E 3 Algorithm and assumptions on value parameters ......................................36
Appendix F Primary Energy Factor—Sweden ........................................... 39
F 1 Value used for electricity generation .......................................................39
F 2 Algorithm and assumptions used for value parameters ..............................39
Appendix G Primary Energy Factor—France ............................................. 41
Appendix H From EN 15603:2008-07....................................................... 43
Appendix I References............................................................................ 44
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1 Introduction
There is no unified approach in European regulations regarding how to calculate
primary energy when assessing energy performance of buildings. Each member state
can select whatever method of calculating primary energy they wish. The fact that the
primary energy factors for electricity in Europe will also be subject to changes as the
share of renewables progresses towards 2050, adds to the problem.
Different national electricity mixes, calculation methodologies, and a constantly
evolving share of renewable electricity raise questions regarding how primary energy
factors influence political and building design decisions. Evaluating the energy
performance of buildings becomes problematic, particularly in regards to space
heating (gas vs. electricity). Making the electricity supply more flexible is also an
important argument. For this reason, it can be desirable to increase the share of
electricity for heating. The goal of this paper is to assess the effect of changing
primary energy factors on the building practices in European countries.
More background on primary energy factors in relation to the Energy Performance of
Buildings Directive (EPBD) and relevant CEN standards is given in Chapter 2. Our
findings on the primary energy factors used by a number of European countries are
discussed in Chapter 3. In Chapter 4 we show how these primary energy factors are
expected to change with the increased incorporation of renewable energy in the
electricity mix. We discuss the implications of changing primary energy factors for
technologies used in the building sector in Chapter 5.
10.
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2 The EPBD and primary energy factors
2.1 Introduction
The recast of the Directive on the Energy Performance of Buildings (Directive
2010/31/EU) lays down the requirements regarding the general framework for a
methodology for calculating the integrated energy performance of buildings. In
general, the EPBD aims at a common approach, level playing field, and transparency.
With regard to the procedures for calculating a building‘s energy performance though,
it leaves room for Member States to differentiate at national or regional level2
.
Two quotes from the EPBD on this are:
From Art 3: ‗Primary energy factors used for the determination of the primary
energy use may be based on national or regional yearly average values and
may take into account relevant European standards‘
From Annex I: ‗The energy performance of a building shall be expressed in a
transparent manner and shall include an energy performance indicator and a
numeric indicator of primary energy use, based on primary energy factors per
energy carrier, which may be based on national or regional annual weighted
averages or a specific value for on-site production. The methodology for
calculating the energy performance of buildings should take into account
European standards and shall be consistent with relevant Union legislation,
including Directive 2009/28/EC‘
The relevant standard for primary energy factors is CEN standard EN 15603 ‗Energy
performance of buildings. Overall energy use and definition of energy ratings.‘ It
provides the calculation procedure to determine the annual overall energy use for
heating, cooling, hot water, ventilation, and lighting. This standard is part of a series
of CEN standards to support the EPBD2
.
A building generally uses more than one energy carrier, such as gas, coal, oil, wood,
district heating or cooling, electricity, et cetera. Therefore, a common expression of all
energy carriers is essential in order to aggregate the amounts used, which are
otherwise sometimes expressed in different units and always leading to a variety of
impacts. Clause 8 of the EN 15603 standard offers the following aggregation methods:
Primary energy rating
CO2 emissions rating
National ‗policy energy rating‘
The first one is compulsory according to the EPBD. We report below how the primary
energy rating is dealt with in the EN 15603 standard.
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2.2 EN 15603
According to EN 15603, the primary energy factor always accounts for the extraction
of the energy carrier and its transport to the utilization site, as well as processing,
storage, generation, transmission, distribution, and delivery. Including the energy
required in building transformation units and transportation systems, as well as in
cleaning up or disposing of wastes, is optional.
There are two definitions of the primary energy factor (example-values are shown in
the next chapter).
Total primary energy factor
All the energy overheads of delivery to the point of use are taken into account in this
version of the conversion factor, including the energy from renewable energy sources.
Consequently, this primary energy conversion factor always exceeds unity.
Non-renewable primary energy factor
As above, but excluding the renewable energy component of primary energy.
The renewable portion of delivered energy is considered as zero contribution to the
primary energy use. Consequently, for a renewable energy carrier, this normally leads
to a factor less than unity (ideally: zero).
If the primary energy rating is supposed to express the use of a fossil or other non-
renewable or polluting energy source, this is the version to be used.
The CEN standards also reports recommended values for primary energy factors for
electricity generation from various sources and from electricity generation from a
UCPTE mix. Some of these values are given in the table below.
Table 2 - 1 Primary energy factors recommended in Annex E of CEN 15603:2008 (for full table in
German see Appendix C).
Electricity generation type Primary Energy Factor—non
renewable
Primary energy
factor—total
Hydroelectric power 0.5 1.5
Nuclear energy 2.8 2.8
Coal plant 4.05 4.05
Electricity mix UCPTE 3.14 3.31
Table 2-1 contains informative values of the primary energy factors from the national
electricity mix. However, energy is not only consumed in (or near) buildings but can
also be produced.
A distinction is made between primary energy factors of imported (delivered) energy
and exported energy. These need not be the same. For example, for electricity: the
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exported electricity may be considered as competition for other new (high efficiency)
electricity plants and/or may be considered as saving off-peak load rather than base
load, while the delivered electricity in most countries is regarded as the national mix
of existing plants that deliver to the grid. This is to be determined at the national
level. For example, in the Netherlands, delivered electricity has a factor of 2.56 and
exported electricity from CHP a factor of 2.00.
EN15603 says that, per energy carrier, the exported energy can be subtracted from
the imported energy:
)()( exp,,exp,,,, iPiidelPidelP fEfEE
Where
PE = The primary energy demand
idelE , = final energy demand of energy carrier i
idelPf ,, = primary energy factor for demand energy carrier i
iEexp, = exported final energy of energy carrier i
iPf exp,, = primary energy factor for export energy carrier i
The primary energy factors for demand and export need not be the same.
If they are, then the production is in effect subtracted from the demand, per energy
carrier.
These factors are determined taking into account all upstream and downstream losses
and therefore result in rather high values.
It should be noted that the values in Table 2-1 differ from what is proposed in some
other official EU documents. For example the Annex of the Energy Services Directive
recommends using values of 2.5 for the entire EU.
It should also be noted that while this standard is advisory to national governments,
there is no obligation to precisely follow the standard.
Efforts are also taken to bring the CEN standardization of energy performance in
buildings to ISO (world) level.
Within ISO, the ISO/TC 163/WG 4 (Joint Working Group of ISO TC 163 and TC 205 on
energy performance of buildings using a holistic approach) is responsible for the
coordination of the work on the energy performance of buildings. This joint WG has
two co-convenors, Mr Dick van Dijk (the Netherlands) and Mr Essam E. Khalil (Egypt).
This ISO joint working group agreed to use the CEN/EPBD standards as a major input
to their work and is seeking further improvement of these standards, based on the
current experiences in the European arena as well as aiming at improved EN ISO
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standards in the near future. One of the standards under preparation is based on EN
15603 (Overall energy use and definition of energy rating). Within that context, an
inventory is being taken of the primary energy conversion factors used in various
countries.
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3 National primary energy factors
3.1 Method
Ecofys examined the relevant national standards of Germany, the Netherlands, and
the UK, and talked to individuals in order to clarify issues when necessary.
Assistance from individuals and organizations outside of Ecofys was obtained for the
other countries (see Foreword).
A standard reporting format was created for respondents to fill in. The standard
reporting format and the reports from the various countries can be found in
Appendices A through E.
Comprehensive information on how primary energy factors in the various countries are
determined was not readily available in the national energy performance standards.
Additional efforts involving personal contact with individuals and examination of
relevant national documents were required to procure this information from several
countries. In many cases there are no clear references or documents available that
provided answers on how PEFs are determined, because the PEFs were to some extent
a political factor.
3.2 Results
The primary energy factors for electricity generation as reported in the national
standards on energy performance for buildings are shown in the table below.
Table 3 - 1 Primary Energy Factors (PEFs) for electricity generation used in energy performance
for building regulation in reported countries
France Germany NL Poland Spain Sweden UK
PEF 2.58 2.6 2.56 3 2.6 2 2.92
3.3 The algorithm
The primary energy factor for electricity generation depends on a number of elements,
including:
1. For non-renewable (fossil and nuclear) and renewable plants: upstream losses
associated with extraction of fossil fuels taken into account?
2. Are downstream losses (transmission and distribution losses) taken into
account?
3. What efficiency is taken into account for conversion into electricity of non-
renewable energy carriers?
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4. Are state-of-the art or average efficiencies used?
5. How is renewable energy taken into account (0 or 1)?
6. How is CHP taken into account (what fraction is assigned to electricity)?
7. What is the mix of different energy carriers in the electricity mix?
As already explained, little information is given in the national standards on how the
Primary Energy Factors are derived. Efforts have been made to find this out for
several countries by contacting individuals and by examining related national
documents. The results to date are summarized in Table 3-2.
Table 3 - 2 Overview on Primary Energy Factors (PEFs) and arguments used for PEFs in various
countries. N.B. When italics are used, this value is assumed to be likely.
France Germany NL Poland Spain Sweden UK
% RE 12.8% 10.3% 4.2% 2.7% 22.3% 50.2% 4.7%
PEF 2.58 2.6 2.56 3 2.6 2 2.92
PEF (RE=0) 2.63 2.54 2.30 3.23 1.78 1.60 2.43
PEF (RE=1) 2.77 2.65 2.35 3.26 2.01 2.14 2.48
Political? Y N Y Y
RE factor Unclear Unclear >0 unclear >0 >0 >0
Upstream
losses?
No No Yes Yes No Yes
Downstream
losses?
Yes Yes Yes Yes Yes
RE produced
+ consumed
on site
Deducted
demand
Deducted
demand
Deducted
demand
Deducted
demand
Deducted
demand
RE produced
+ exported
on site
2 2.92
Updates? Yes No Yes
In the above table, we first report the shares of renewable energy1
. Next, the PEFs
used in the various countries are reported. Two PEF calculations follow, one with a
renewable factor 0 and one with a renewable factor 1. These factors include
downstream losses and exclude upstream losses. Following the advice of CEN 15603,
a weighting factor of 2.8 has been used in the calculations for nuclear generated
electricity.
1
From ECI spreadsheet. The numbers are in some cases on the low side, but for simplicity and because it
will not change anything to the results we adhered to these numbers.
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Next, a comment is made on whether the PEF is the result of a clear algorithm or the
result of a political process (or mix of those). As previously mentioned, No clear
algorithm is laid down in a report for the factors of France, the Netherlands, and
Sweden. A comment has been made addressing this in the Dutch regulation (see
Appendix A). The Swedish Energy Authority does not support the concept of primary
energy factors. Consequently, there were no official primary energy factors published
for application in Sweden. It seems that a ‗political primary energy factor‘ has been
set only for the building performance regulation. There, electricity is assigned a factor
of approximately 2, while direct fuel or gas is 1.
Moving down one row in the above table, the factor for renewables that is actually
used is reported. This was not clear in many cases, especially in countries where the
factor is the result of a political process rather than a scientific calculation. For the
Netherlands and Spain, documents from government agencies reporting RE> 0 have
been found (see Appendices). Spain is the only country that reports PEFs of individual
electricity generation technologies: the factor for nuclear is 3.03, for PV, wind and
hydro it is 1, for CSP = 4.56. It appears that countries with a low share of renewables
in the national mix do not consider it to be an issue yet. The two countries with high
fraction of renewables (Spain and Sweden) in their mix have a fairly large PEF,
suggesting a RE-factor > 0.
Moving on to the next row in the table, it is indicated whether upstream losses are
taken into account. This was usually not explicitly reported. However, it can be
deduced from the PEFs for fossil fuels: if the reported PEFs for, e.g. gas = 1, it is
assumed that upstream losses for electricity have not been taken into account either.
This was the case for the Netherlands and Sweden. In the UK and Poland, PEFs for
fossil fuels are > 1 and therefore it is assumed that upstream losses are taken into
account for electricity as well.
All the factors and issues discussed up to this point relate to the PEF for electricity
delivered from the national electricity mix. As mentioned in the previous chapter, a
different PEF may be used for electricity generated on-site.
Row ‗RE on-site‘ reports how on-site renewables are treated.
In most cases, produced renewable electricity can be deducted from the electricity
consumption of the building, up to the amount of the electricity consumption. Beyond
this amount, it is considered to be exported. Only the Netherlands has a factor that
differentiates the delivery of this electricity.
It was first thought that an average contribution for consumption due to appliances
was taken into account in the UK. Further research revealed that this is only used for
special subsidy or tax deduction purposes and not for the purpose of determining the
energy performance of a building in regard to building regulations.
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In the Netherlands, a standard has recently been issued wherein an average
contribution of appliances is used to increase the amount of electricity produced on-
site and that can be deducted from demand rather than exported. The deduction can
take place in different ways:
1. Subtract the yearly totals of demand and production
2. Subtract on the basis of smaller time intervals to take into account simultaneity
of production and demand
In practice, only yearly totals are used for the countries cited in the research.
For further details on the factors, refer to the appendices.
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4 Developments electricity mix until 2050
An increasing share of renewables in a country will affect the emissions related to the
use of energy, which is accounted for by a change of the primary energy factor used
for electricity.
4.1 Methodology
In order to see how the primary energy factors might develop in France, Germany, the
Netherlands, Poland, Spain, Sweden, and the United Kingdom, potential scenarios
regarding the development of renewables shares were used to calculate resulting
primary energy factors. Two future reference years were chosen for calculation: 2020
and 2050. The same methodology was applied for the new calculations as that
employed for calculating the actual 2009 values2
.
4.2 NREAPs and scenarios as basis
2020: National Renewable Energy Action Plans
Under the terms of the Renewable Energy Directive, all EU Member States were
required to deliver National Renewable Energy Action Plans (NREAPs) to the EU
Commission by June 2010. By the end of the year, all Member States had submitted
them3
. Each country has to describe how they intend to reach the renewables targets
set by the EU for the year 2020. A trajectory of the expected development of
renewables shares in the heating/cooling, electricity, and transport sectors is included
in Table 3 of the NREAP. This projected electricity renewables share of the NREAP was
used in calculating the potential 2020 primary energy factors for each country.
2050: energy [r]evolution
No EU targets for Member States have been set yet for the year 2050. A scenario was
therefore chosen as basis for the calculation. Any values for 2050 are of course
subject to a high level of uncertainty. We took the EREC/Greenpeace energy
2
For the remaining non-renewable part of electricity production, we assumed the
shares of nuclear and thermal production to stay constant, i.e. if in 2009, 20% of the
electricity in a country was produced from renewables, 40% from nuclear and 40%
from thermal plants, the shares of non-renewables is split 50% for nuclear and 50%
for thermal. If in 2020 the country generates 50% from renewables, than the
remaining 50% would be split to nuclear and thermal plants according to their 2009
shares, thus 25% each.
3
http://ec.europa.eu/energy/renewables/transparency_platform/action_plan_en.htm
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[r]evolution scenarios 20104
as our basis in order to show a ‗corridor of possibilities.‘
This corridor includes:
a) A relatively conservative reference scenario based on the International Energy
Agency‘s World Energy Outlook 2009
b) The energy [r]evolution scenario with the aim of drastically reducing the
world‘s CO2 emissions and thus exploiting renewables to a very high level
The shares of renewables that these scenarios project for Europe in 2050 were applied
to all countries in the 2050 calculation with the exception of Sweden. Sweden has
already set a higher goal for their renewables share in electricity production in 2020
than that of the Europe-wide share in the reference scenario for 2050.
4.3 Development of the electricity mix
The following graphs show the development of nuclear, thermal plants, and renewable
shares resulting from the assumptions described above.
4
EREC/Greenpeace: energy [r]evolution – a sustainable world energy outlook. 3rd
edition, June 2010
Netherlands - 2009
thermal
nuclear
renewables
2020
2050 REF 2050 [r]evolution
Germany - 2009
thermal
nuclear
renewables
2020 2050 REF 2050 [r]evolution
France - 2009
thermal
nuclear
renewables
2020 2050 REF 2050 [r]evolution
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4.4 Development of primary energy factors
This growing share of renewables will result in decreasing primary energy factors. As
with the two 2050 scenarios, the calculation of resulting primary energy factors was
also done for two cases:
a) The factor used for renewable energies is 0
b) The factor used for renewable energies is 1
All other assumptions remained the same.
The results for the primary energy factors are depicted in the following graphs. The
yellow bar is the factor actually used in the country‘s performance standards for
UK - 2009
thermal
nuclear
renewables
2020 2050 REF 2050 [r]evolution
Sweden - 2009
thermal
nuclear
renewables
2020 2050 REF 2050 [r]evolution
Spain - 2009
thermal
nuclear
renewables
2020 2050 REF 2050 [r]evolution
Poland - 2009
thermal
nuclear
renewables
2020 2050 REF 2050 [r]evolution
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buildings. The blue bars indicate the calculated factors for the years 2009, 2020 and
both 2050 scenarios. The development of the factors and level of decrease depends on
the country‘s initial situation, which are very different with regard to their current
shares of renewables as well as their shares of thermal and nuclear plants. Poland for
example starts with the highest factor for electricity (actually used as well as
calculated) while Sweden, due to its highly developed hydroelectric power, has the
lowest initial factors. Using a factor of 0 for renewable electricity, the primary energy
factors for electricity would be between 1.2 and 2.7 in 2020, and range from 1.2 to
1.9 in the reference scenario and 0.2 and 0.28 in the [r]evolution scenario for 2050.
A factor of 1 for renewable electricity would generally yield higher overall primary
energy factors. The factors would currently vary between 1.6 and 3.2 (actually used)
or 2.01 and 3.26 (calculated for 2009), and would be projected to decrease in 2020 to
factors between 1.8 and 2.9. In the year 2050, the primary energy factors would
further decrease to values between 1.8 and 2.4 in the reference scenario and 1.16 and
1.28 in the [r]evolution scenario.
0
0,5
1
1,5
2
2,5
3
3,5
France Germany Netherlands Poland Spain Sweden United
Kingdom
bld performance
calc 2009 RE=0
calc 2020 RE=0
calc 2050 RE=0 REF
calc 2050 RE=0 [r]evolution
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0
0,5
1
1,5
2
2,5
3
3,5
France Germany Netherlands Poland Spain Sweden United
Kingdom
bld performance
calc 2009 RE=1
calc 2020 RE=1
calc 2050 RE=1 REF
calc 2050 RE=1 [r]evolution
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5 Implications for technologies used in the building sector
5.1 From the previous chapters
Summarizing the observations relevant for this project from the previous chapters:
Renewable energy in the PEF for delivered electricity
(Delivered means delivered from the grid to the local project/building).
The primary energy factors for delivered electricity currently used in most countries is
±2.6. The UK and Poland have higher numbers (± 3) and Sweden has 2. It is striking
that the two countries with the most renewables, Spain and Sweden, are the most
conservative with their PEF. Poland is the only country with an optimistic PEF,
considering the value calculated based on their energy mix. The other countries use
values that are reasonably in line with calculated numbers.
Most countries take renewable energy into account as non-zero, even though it is not
clear what number is exactly used and their exact algorithm is not known. There are
clear signals that the PEFs for France, the Netherlands, and Sweden do not arise from
purely scientific arguments and a clear algorithm. If we assume the factor for
renewables to be 1, the primary energy factors will converge to 1 as the penetration
of renewables increases as 2050 approaches. Our own calculations show that by 2020,
however, the factors for most countries are still expected to hover around 2 (or 2.5 to
3 in the case of Poland).
Renewable energy in the PEF for produced electricity
In most countries, renewable electricity produced on-site can be deducted from the
electricity demand. This implies that the same PEF is used for produced electricity as
for delivered electricity. In the UK, the Netherlands, and a few other countries, export
of electricity is possible and counts towards the energy performance of the building.
Even though a number of options theoretically exist for this deduction, it seems that in
practice all countries more or less employ the same method, which is: (1) subtraction
of yearly totals, not taking into account whether demand and production take place at
the same time, (2) subtraction from the electricity demand that is composed of
building related electricity demand only (heating, cooling, ventilation,
(de)humidification, lighting), not taking into account a contribution from users and
their appliances. In France, a limit for production of PV that counts toward the
performance of the building is imposed for homes, but not in the tertiary sector.
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5.2 Implications for technology choices
PEF for delivered electricity
It can be expected that as PEFs for delivered energy decrease with increased
incorporation of renewable energy into the national energy mix, this will be a stimulus
for a fuel shift from oil or gas to electric heating. In general, electricity consumption
will weigh less heavily in the total for the overall energy performance of the building.
For example, air conditioning will contribute less to lowering the energy performance
of a building. Therefore, it could also have the effect that use of efficient equipment
(for ventilation, lighting, air conditioning) is not stimulated as much as with higher
PEFs. As this is an undesirable effect, quite likely steps will be taken to remedy this
should it become an observed trend. Such remedies might include the setting of
minimum energy-efficiency performance standards through the ErP directive, in
combination with labelling.
As already mentioned, the process of changing PEFs will be gradual, but with
significant changes already apparent by 2020. It is logical to expect that countries will
revise their PEFs on a regular schedule, e.g. every 3 to 5 years.
If a country such Spain, with much higher actual PEFs than those calculated, should
start to use a PEF that is more in line with calculated values based on the national mix
and a renewable factor of 1, then this would have an immediate lowering effect on
their PEF.
PEF for produced electricity
As the countries investigated have chosen not to differentiate in the PEF for delivered
and produced electricity, they have given a maximum benefit to renewables on-site
from a PEF perspective.
Production of renewable electricity on-site can improve the energy performance of a
building by reducing the overall electricity demand. If heat pumps are used as a
heating option, this will increase the electricity demand (compared to using a gas
boiler for example), enabling a larger amount of renewable electricity to be
incorporated into the project, and therefore enabling greater improvement in the
energy performance of the project. If the level of ambition is high, a heat pump and
renewable electricity can be a good combination. If the ambition in a project is to just
meet the minimum standards, it will not make much difference how much renewable
electricity can be precisely deducted.
Assuming that countries retain the coupling between the PEF for delivered electricity
and produced electricity, lowering PEFs for delivered electricity—and thereby lowering
PEFs for produced electricity—would give on-site renewable electricity a less positive
impact on the energy performance.
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Another issue to consider when looking at produced electricity is the possibility of
taking into account use-related electricity consumption into the building‘s
performance. This is especially the case as buildings become more efficient and front-
runner projects move toward very low or zero energy buildings. The point is ripe for
debate whether taking into account user-related electricity consumption (from
appliances such as computers, etc.) into a building‘s performance calculations makes
sense. User-related consumption in such buildings exceeds the building related
consumption and therefore the electricity demand in the building performance
calculations would more than double. This would enable a larger amount of renewable
electricity to be ‗rewarded‘ in the building energy performance system.
In the UK, they do not take into account a user related component for the energy
performance for buildings. However, in order to be eligible for a certain tax deduction,
a calculation is made that does take an average contribution from cooking and
appliances into account3
.
In the Netherlands, an appliance contribution is determined in the recently issued
standard (April 2011). An average contribution of appliances is used to increase the
amount of electricity produced on-site and that can be deducted from demand rather
than exported. This contribution does not influence the final energy performance
directly by increasing the demand, but it does allow for a greater deduction of
renewable electricity produced on-site (and therefore can indirectly influence the
building‘s energy performance).
5.3 A flexible electricity mix
Some of the technologies mentioned in the previous paragraph may have a beneficial
effect on the flexibility of the electricity supply. With the increased incorporation of
renewables in the national electricity mix, flexibility (the ability to modulate energy
demand with variable supply) becomes increasingly important. For example, heat
pumps generate heat that is then stored in the building (through buffer tanks with
water).
To what extent does equipment that aids to electrification of the energy supply
increase the flexibility of the electricity supply? To get a better grip on this question,
we first composed a list of technologies that may possibly contribute to this flexibility,
either as DSM (Demand Side Management) or on the supply side. The focus was on
new technologies—at least new from the viewpoint of introducing greater flexibility.
On the supply side, new flexible technologies might include:
CHP in combination with heat storage
CSP (Concentrating Solar Power) with heat storage (Southern Europe)
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On the demand side:
Heat pumps (in winter)
Air conditioning in combination with ice storage (in summer)
Electric heating in passive homes (in winter)
Cooling applications in the services sector4
Electric and plug-in hybrid cars
Micro and mini-CHP (in combination with heat storage)
Without claiming this list to be complete, it does reveal that many technologies can
already have an influence on the flexibility of the electricity supply. Going into the
details of the effects of each of these technologies on the flexibility of the electricity is
beyond the scope of this study. Instead, we will comment on some of the electricity-
based technologies that are within scope of this study:
Heat pumps: it has already been mentioned that heat pumps have some
degree of flexibility, because the heat they generate can be stored5
. On the
other hand, grid regulators also have qualms about large scale introduction of
the heat pumps, because they could generate a tremendous peak load when
people come back from skiing vacation in mid winter6
.
Electric heating in passive homes: it is currently unclear whether electric
boilers will be allowed under Ecodesign. An implementing measure on boilers
could be ready by this summer or fall. Such a combination would in any case
require tough building inspection and commissioning to ensure passive homes
are built according their specifications.
Air conditioning in combination with ice storage. If electricity flexibility is
needed in the winter (which function can be fulfilled by heat pumps), quite
likely flexibility is also necessary in summer. Air conditioners with ice storage
have been developed that can fulfil this function. The equipment is
manufactured in the US7
.
At present, regulations for energy performance of buildings do not reward flexibility.
5.4 Outlook for PEFs
The discussion above raises the question as to what Primary Energy Factors are most
desirable if one favours electrification of the energy supply (for reasons of flexibility),
without compromising and preferably increasing the sustainability of the energy
supply? What is a reasonable expectation?
We have seen that lower PEFs for electricity delivery can favour electrification, but
they can also impede increased efficiency of electricity consumption. A PEF of 0 for the
contribution of renewables needs to be combined with stringent attention to energy
efficiency.
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We have also seen that lower PEFs for produced electricity can mean a decreased
stimulus for locally produced renewable electricity.
There may also be possible solutions that enable a lower PEF without negative effects.
Numerous calculation methods for Zero Energy Buildings are around at present8
. One
proposed calculation method is to separate the calculation of the demand and that of
the supply to a building. In other words, the demand for energy is minimized first,
then decisions are made on how the necessary energy is supplied, taking into account
the efficiencies of these methods and the PEFs of the energy carriers. Incorporating
this into the calculation methods for the energy performance of buildings would solve
the issue of a lower PEF for electricity hindering electricity efficiency. In fact, a
provision is already built into current French building regulations that prevent the
compensating of an inefficient building with a lot of local renewables. They require a
certain efficiency in the demand of the building before calculating the effects of supply
and demand together.
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6 Conclusions and recommendations
The following Primary Energy Factors (PEFs) for delivery of electricity to a building or
project have been found in the national building regulations of these seven countries:
France Germany NL Poland Spain Sweden UK
PEF 2.58 2.6 2.56 3 2.6 2 2.92
The PEF for the majority of these countries hovers around 2.6. The only countries with
a renewable electricity share that is large enough to significantly influence the PEF at
present are Spain and Sweden. Spain uses a PEF that is much higher than what would
normally be expected based on a calculated value with a weighting factor for nuclear
= 3 and renewables = 1. For Sweden, the factor for renewables is between 0 and 1,
and assumes a factor for nuclear of 3.
Most countries take renewable energy into account as non-zero, even though neither
the exact number used nor the exact algorithm is known. There are clear signals that
the PEF does not arise from purely scientific arguments and a clear algorithm for
France, the Netherlands, and Sweden. If we assume the factor for renewables to be 1,
the primary energy factors will converge to 1 as the penetration of renewables
increases towards 2050. However, using our own calculation methods and discarding
any political arguments that might change this trend by 2020, the factors for most
countries will still remain around 2 (or 2.5 to 3 in the case of Poland).
If the PEFs are adjusted downwards with an increasing renewable electricity share in
the national mix, it could influence the balance between the shares for electric heating
versus other methods of heating. It could, for example, provide a further positive
impulse for heat pumps. However, lower PEFs could also result in a decreased
stimulus to make building-related electricity consumption such as that for lighting,
ventilation, or air conditioning more efficient.
The countries investigated have chosen not to differentiate between the PEF for
delivered and produced electricity. They have provided a maximum benefit to on-site
renewables from a PEF point of view, enabling subtraction of renewable electricity
from the electricity demand.
Assuming that countries retain the present coupling between the PEF for delivered
electricity and produced electricity, lowering PEFs for delivered electricity and thereby
lowering PEFs for produced electricity would give renewable on-site electricity less
impact on improving the energy performance (to the same extent that the impact of
electricity consumption will be less). This is however unlikely to affect the
development of such renewables, as adequate financial support mechanisms are in
place for small-scale systems in many countries.
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PEFs are not based entirely on scientific arguments and clear algorithms. Given the
significant changes that lie ahead for electricity supply, the PEF for electricity should
be revised regularly and its method of calculation clearly documented and eventually
harmonized. A falling PEF has the negative effect of a lower stimulus for efficiency in
most current calculation methods. Even though minimum requirements for building-
related energy efficiency are already regulated through the ErP Directive, there is no
stimulus for choosing the most efficient solution other than through regulations
regarding building performance. However, this could be avoided if the calculations for
demand are separated from the calculation of supply, as was proposed during
discussions concerning calculations for determining Zero Energy Buildings.
We also briefly discussed which building-related electricity demand options could
positively influence the flexibility of the electricity supply. Flexibility of the electricity
supply certainly has a demand side management component, but the discussion is not
dominated by this9
. The extent to which increased flexibility of the electricity supply
through incorporation of heat pumps can be a driver is a topic of further study.
Based on the above findings, the following recommendations are made:
Given the strong move toward zero energy buildings, there is a case for taking
appliances into account in the electricity demand. This would provide greater
reward for renewable electricity on-site, as it would at least double the
electricity demand and enable compensation of this demand through renewable
electricity.
It is worthwhile to take a closer look into the discussions on calculation
methods for zero energy buildings. We believe they may provide new ways of
calculating energy performance for buildings that do not have negative effects
of lower PEFs. For non-ZEBs, special care needs to be given to ensure that low
PEFs do not lead to lower energy efficiency.
For countries that use much higher PEFs than those calculated based on their
national electricity mix (Sweden and Spain), more work should be done to find
out the details of the decision-making process behind the PEFs previously used
and those to be used in the future.
Considering the rapid evolution of the electricity system, PEFs need regular
revision, e.g. every 3 to 5 years.
PEFs are used as a political factor, with sometimes unclear calculation methods.
As a minimum, the calculation method to produce a PEF should be
documented, especially for renewable electricity systems.
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Appendix A Primary Energy Factor—the Netherlands
A 1 Value used for electricity generation
39% (2.56)
50% (2.00) in case of electricity produced by CHP (within the project boundaries)
Reference:
NEN 2904:2004, ‗Energieprestatie van utiliteitsgebouwen—
Bepalingsmethode‘ (‗Energy performance of non-residential buildings—
Determination method‘)
A 2 Algorithm and assumptions used for value parameters
Exact algorithm not stated.
Stated:
Electricity production of average park, based on upper heating value, taking into
account grid losses.
Also stated:
‗Bij de vaststelling van de rekenwaarde van het rendement van de elektriciteits-
voorziening is mede rekening gehouden met beleidsmatige overwegingen van de
overheid.‘ Translation: ‗Attention was given to government policy considerations when
determining PEF values.‘
Reference for algorithm:
NEN 2904:2004, ‗Energieprestatie van utiliteitsgebouwen—
Bepalingsmethode‘ (‗Energy performance of non-residential buildings—
Determination method‘)
Weighting factor nuclear:
Not stated, 33% (3) is likely.
Weighting factor renewables:
Not stated, 100% (1) is likely.
Thermal efficiency fossil plants:
Not stated
Thermal efficiency for electricity CHP plants:
Not stated
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Comments:
A draft report reporting on alternatives for heat supply discusses various ways of
determining conversion factors for primary energy used to generate electricity. They
use 33% for nuclear and 100% for renewables and mention a power plant thermal
efficiency of 49% on lower heating value.
Using 39% results in a factor of 2.56, whereas the spreadsheet reports 2.35 when
using 3 for nuclear and 1 for renewables.
It appears that the number 39% has been used for a long time without having been
updated to the latest developments in renewable energy production and thermal
efficiency of fossil power plants.
In the Netherlands, 50% of all electricity is produced by CHP. Therefore, the
discussion on allocation of primary energy to heat vs. electricity also plays an
important role in determining the thermal efficiency.
Other references:
1. Uniforme Maatlat voor de warmtevoorziening in de woning—en utiliteitsbouw,
Een protocol voor het vergelijken van alternatieven voor de warmtevoorziening
op bouwlocaties—concept, feb. 2011. Page 79
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Appendix B Primary Energy Factor—the UK
B 1 Value used for electricity generation
2.92 for all electricity, including that produced from CHP
Reference:
SAP 2009: The Government‘s Standard Assessment Procedure for Energy Rating of
Dwellings—2009 edition
B 2 Algorithm and assumptions used for value parameters
No algorithm stated
Reference for algorithm:
-
Weighting factor nuclear:
Not stated
Weighting factor renewables:
Not stated
Thermal efficiency fossil plants:
Not stated
Thermal efficiency for electricity CHP plants:
Not stated
Comments:
The UK government adopted the Government‘s Standard Assessment Procedure for
Energy Rating of Dwellings, in short SAP, as part of the national methodology to
calculate the energy performance of buildings. It is also used to demonstrate a
building‘s compliance with building regulations in England and Wales, Scotland, and
Northern Ireland.
The current SAP 2009, which was revised in October 2009, has been applied since
October 2010 to demonstrate a building‘s compliance with building regulations in
England, Wales, and Scotland. New conditions will be decided for Northern Ireland at a
later date.
In the former SAP 2005, the primary energy factor for all electricity, including CHP,
was set at 2.8.
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The SAP 2005 was still used for the issuing of Energy Performance Certificates; this
was switched to SAP 2009 as of March 2011.
Other references:
2. . http://www.bre.co.uk/sap2009/page.jsp?id=1642
3. SAP 2005: The Government‘s Standard Assessment Procedure for Energy
Rating of Dwellings. 2005 EDITION
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From SAP 2009
36.
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Appendix C Primary Energy Factor—Germany
C 1 Value used for electricity generation
2.6 for the non-renewable share of electricity. Electricity produced from renewable
energy sources directly connected to the building can be deducted from the final
energy demand.
Reference:
EnEV 2009: „Verordnung über energiesparenden Wärmeschutz und energiesparende
Anlagentechnik bei Gebäuden (Energieeinsparverordnung—EnEV) (Energy Saving
Ordinance)
C 2 Algorithm and assumptions used for value parameters
No algorithm stated
Reference for algorithm:
EnEV 2009: „Verordnung über energiesparenden Wärmeschutz und energiesparende
Anlagentechnik bei Gebäuden (Energieeinsparverordnung—EnEV) (Energy Saving
Ordinance)
Weighting factor nuclear:
Not stated, 33% (3) is likely
Weighting factor renewables:
Not stated, 100% (0) is likely
Thermal efficiency fossil plants:
Not stated
Thermal efficiency for electricity CHP plants:
Not stated
Comments:
In the first version of the 2002 Energy Saving Ordinance, the primary energy factor
for electricity was 3.0. In the 2007 revised version, the factor was 2.7. The current
version (2009) has the value of 2.6.
Recently there has been a publication researching the actual primary energy factor
that should be used in Germany in the year 2010. This study concludes that due to the
increase in the number of renewable energy sources, the actual primary energy factor
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has decreased to a factor of around 2.4 and will probably decrease further to around
2.3 in 2012, 2.1 in 2015, and 1.8 in 2020.
There are discussions underway regarding updating the current factor of 2.6 in EnEV,
but no decisions have been made as yet.
Other references:
4. EnEV 2007: Energy Savings Ordinance from 2007.
http://bmwi.de/BMWi/Redaktion/PDF/Gesetz/enev-novelle-
2007,property=pdf,bereich=bmwi,sprache=de,rwb=true.pdf
5. Öko 2011: Der nichterneuerbare Primärenergieverbrauch des nationalen
Strommix in Deutschland im Jahr 2010. Öko-Institut Darmstadt, 2011.
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Appendix D Primary Energy Factor—Poland
D 1 Value used for electricity generation
3.0
Reference:
Regulation of the Polish Ministry of Infrastructure of 6 November 2008 on the
‗methodology of calculation of energy characteristics of buildings, living apartments, or
parts of buildings which constitute a separate technical and usable entity as well as on
a method of preparation and forms of energy certificates of buildings‘ (Dz.U. 2008, nr.
201, position 1240).
D 2 Algorithm and assumptions used for value parameters
No algorithm stated
Reference for algorithm:
-
Weighting factor nuclear:
Not stated
Weighting factor renewables:
Not stated
Thermal efficiency fossil plants:
Not stated
Thermal efficiency for electricity CHP plants:
Not stated
Comments:
Other references:
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Primary Energy Factors, from Polish regulations:
Energy carrier Conversion factor
Fuel / energy source Furnance oil
Natural gas
Liquid gas
Hard coal
Lignite
Biomass
Solar heating
1,10
1,10
1,10
1,10
1,10
0,20
0,00
Cogeneration Fossil
Biogas & biomass
0,80
0,15
District heating Coal
Gas or Oil
Biomass
1,30
1,20
0,20
Electrical energy Public power supply
Photovoltaic
3,00
0,70
Energy carrier Conversion factor
Fuel / energy source Furnance oil
Natural gas
Liquid gas
Hard coal
Lignite
Biomass
Solar heating
1,10
1,10
1,10
1,10
1,10
0,20
0,00
Cogeneration Fossil
Biogas & biomass
0,80
0,15
District heating Coal
Gas or Oil
Biomass
1,30
1,20
0,20
Electrical energy Public power supply
Photovoltaic
3,00
0,70
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Appendix E Primary Energy Factor—Spain
E 1 Primary energy factors used in building regulations
The primary energy factors in the following tables are those used in the national
building regulations. These factors are used in the CALENER instrument, the official
national instrument for energy labelling of buildings. This instrument was designed as
part as the national implementation of the EU EPBD. The factors are provided by idea,
the national energy agency.
Type of energy recourse
Coefficient from
final to primary
energy (kWh/kWh)
CO2 coefficient (kg
CO2/kWh)
Coal (domestic use) 1.000 0.347
Liquefied Petroleum Gas
(LPG)
1.081 0.244
Diesel 1.081 0.287
Fuel Oil 1.081 0.280
Natural gas 1.011 0.204
Biomass and bio fuels 1.000 0.000
Electricity (peninsular) 2.603 0.649
Electricity (extra-peninsular)* 3.347 0.981
* Balearic Islands, Canary Islands, Cueta y Melilla
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E 2 Spanish energy mix
The national energy mix for Spain‘s electricity is given in the next table. The CO2
factor given by the national government is 0.27 kg CO2/kWh and is based on these
numbers. This is significantly lower than the factor used in national building
regulations.
Electricity mix Spain
(2009)
Spain (%)
Renewable energy 27.90%
Natural gas 27.30%
Nuclear 19.30%
Coal 12.10%
Cogeneration 9.30%
Cogeneration (high
efficiency)
2.30%
Fuel 0.70%
Rest 1.10%
Total 100.00%
Factors
kg CO2/kWh 0.27
Residues radioactive
mg/kWh
0.58
Export 3.10%
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Emission factor for electricity production
From the national plan for renewable energy (PER 2005 – 2010) prepared by IDAE,
the next factors are given:
Type of installation Efficiency (%)
CO2 factor (kg
CO2/kWh)
Coal central 36.1% 0.961
Combines cycle, natural gas 54.0% 0.372
Hydroelectric 0.000
Wind 0.000
Biomass Neutral
Biogas Neutral
PV 0.000
Solid waste 24.9% 0.243
Red Electria De Espana (REE), gives the following numbers, based on PER 2005-
2010), June, 2009
Type of installation
CO2 factor (kg
CO2/kWh)
Coal central 0.95
Combines cycle, natural gas 0.37
Fuel Oil central 0.70
Hydroelectric 0.00
Wind 0.00
Nuclear 0.00
Special regime (rest)* 0.25
*Special regime (rest) Share (%)
CO2 factor (kg
CO2/kWh)
Cogeneration 58.0% 0.37
Biomass 7.0% 0.00
Waste 7.6% 0.24
Waste treatment 8.5% 0.24
Hydroelectric (small scale) 12.8% 0.00
Solar 6.2% 0.00
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Conversion factors for final and primary electricity
production
IDAE provided the following conversion factors. Source: Factores de conversión de
consumo o producción a energía primaria (EP) y factor (30 November 2010)
Type of energy recourse
Final
consumption
(MWh)
Primary
consumption
at production
(MWh)
Primary
consumption
at
consumption
(MWh)
Emission
factor at
production
(kg
CO2/kWh)
Emission
factor at
consumptio
n (kg
CO2/kWh)
Nuclear 1.00 3.03 3.45 0.00 0.00
Renewable
Wind and PV 1.00 1.00 1.14 0.00 0.00
Solar Concentrated Power 1.00 4.56 5.19 0.00 0.00
Biomass (electricity) 1.00 4.88 5.55 0.00 0.00
Biogas 1.00 3.70 4.22 0.00 0.00
Hydroelectric 1.00 1.00 1.14 0.00 0.00
Cogeneration
Cogeneration (internal combustion
motor)
1.00 1.67 1.79 0.44 0.50
Cogeneration (gas turbines) 1.00 1.61 1.74 0.36 0.41
Cogeneration (vapor turbines) 1.00 1.72 1.86 0.43 0.49
Cogeneration (gas and vapor
turbines)
1.00 1.54 1.66 0.34 0.39
From:
Ronald Voskens
Eco Creations
E 3 Algorithm and assumptions on value parameters
No algorithm stated
the way to sustainable transformation
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Reference for algorithm:
-
Weighting factor nuclear:
3.03
Weighting factor renewables:
1.00 for PV and wind, 4.56 for CSP
Thermal efficiency fossil plants:
Not stated
Thermal efficiency for electricity CHP plants:
Not stated
Comments:
Other references:
46.
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Appendix F Primary Energy Factor—Sweden
F 1 Value used for electricity generation
The Swedish Energy Authority does not support the concept of primary energy factors.
Consequently, there are no official primary energy factors published for application in
Sweden.
An indirect political primary energy factor is set, e.g. by the energy requirements for
new construction. Electricity is assigned a factor of approximately 2, when direct fuel
or gas is 1. Electricity produced at the building (PV) is 0.
F 2 Algorithm and assumptions used for value parameters
No algorithm stated
Reference for algorithm:
-
Weighting factor nuclear:
Not stated
Weighting factor renewables:
Not stated
Thermal efficiency fossil plants:
Not stated
Thermal efficiency for electricity CHP plants:
Not stated
Comments:
Primary energy factor for Nordisk Elmix/Nordic electricity mix (Sweden, Norway,
Denmark, Finland): 1.5
Reference for this:
SABO table
http://www.sabo.se/SiteCollectionDocuments/MILJOVARDERING20100927_lu.pdf
Other references:
From: Wolfram Trinius, Büro Trinius
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Appendix G Primary Energy Factor—France
31-03-2011
Phone conversation with Jean Robert Millet:
The factor 2.58 is a political factor, but in practice not far off from what would be
calculated based on the electricity mix and a coefficient of 3 for nuclear (more or less
the internationally established standard). They do not want to change it every year.
There are no documents explaining the algorithm, it is just stated in the RT2005 (this
is for new buildings) and will be the same in the new version, the RT2012.
The same factor is used for locally produced electricity. So in practice it comes down
to subtracting locally produced energy from demand, for example PV-production. Wind
turbines are not in the regulations yet, but in theory the framework is there to
introduce them. As long as it is part of the same project, it does not need to be
attached to the building.
Residential PV: you can subtract a maximum of 12 kWhprim/m2
. Any more will not
count. There is no such limit for non-residential buildings. However, all buildings have
to fulfil a certain standard (coefficient) without renewables. You cannot use PV to
compensate for a building that has a bad energy performance.
50.
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Appendix H From EN 15603:2008-07
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Appendix I References
1
All Island Grid Study and DSM Update, for Sustainable Energy Ireland (SEI), Ecofys
2011. (http://www.ecofys.com/com/references/sei.htm).
2
D. van Dijk, ―Numerical indicator for the energy performance based on primary
energy use and CO2 emissions Procedures according to CEN standard EN 15603‖,
from www.buildingsplatform.eu.
3
The Government‘s Standard Assessment Procedure for Energy Rating of Dwellings,
SAP 2009, Chapter 16, L14, L16.
4
‗Wenn Kühlhäuser kommunizieren‘, Sonne Wind & Waerme, 32, Nr.16, p. 34-36, 27
10 2008.
5
See e.g. Morten Boje Blarke, Henrik Lund, ―The Role of Heat Pump Technologies in
the Design of Future Sustainable Energy Systems‖
(http://vbn.aau.dk/files/156729/031_Lund.pdf).
6
O.P. van Pruijssen, I.G. Kamphuis , ‗Grote concentraties warmtepompen in een
woonwijk en gevolgen elektriciteitsnetwerk‘ (large concentrations of heat pumps in a
neighbourhood and consequences for grid), ECN-E—10-088, sept. 2010
(http://www.ecn.nl/docs/library/report/2010/e10088.pdf).
7
See e.g. http://cleantechnica.com/2010/05/22/53-megawatt-ice-energy-storage-
trial-begins-in-california/
8
A.J. Marszal et al, ‗Zero Energy Building – A review of definitions and calculation
methodologies‘, Energy and Buildings 43 (2011) 971–979.
9
All Island Grid Study and DSM Update, for Sustainable Energy Ireland (SEI), Ecofys
2011. (http://www.ecofys.com/com/references/sei.htm).