The document discusses practical ways to improve energy efficiency through retrofits. It recommends:
1) Taking an asset-based approach to retrofits to maximize opportunities and cost efficiency at scale.
2) Integrating suppliers, engineering, and contractors to minimize costs through discounted volumes, optimized space, and reduced risk.
3) Continuously measuring performance using techniques like cumulative sum analysis to identify problems and the effects of efficiency improvements on stable building operations.
How do changes to future technology and fuel developments affect the optimal ...IEA-ETSAP
How do changes to future technology and fuel developments affect the optimal residential
heating decarbonisation pathway?
Mr. Jason Mc Guire, MaREI, UCC
District heating potential in the Italian NECP: assessment through a new resi...IEA-ETSAP
District heating potential in the Italian NECP: assessment through a new residential model in TIMES-RSE
Ms. Corine Nsangwe Businge, RSE - Ricerca sul Sistema Energetico
A Response Surface Based Wind Farm Cost (RS-WFC) model, is developed to evaluate the economics of wind farms. The RS-WFC model is developed using Extended Radial Basis Functions (E-RBF) for onshore wind farms in the U.S.. This model is then used to explore the in uence of di erent design and economic parameters, including number of turbines, rotor diameter and labor cost, on the cost of a wind farm. The RS-WFC model is composed of three parts that estimate (i) the installation cost, (ii) the annual Operation and Maintenance (O&M) cost, and (iii) the total annual cost of a wind farm. The accuracy of the cost model is favorably established through comparison with pertinent commercial data. Moreover, the RS-WFC model is integrated with an analytical power generation model of a wind farm. A recently developed Unrestricted Wind Farm Layout Optimization (UWFLO) model is used to determine the power generated by a farm. The ratio of the total annual cost and the energy generated by the wind farm in one year (commonly known as the Cost of Energy, COE) is minimized in this paper. The results show that the COE could decreasesigni cantlythroughlayoutoptimization,toobtainmillionsofannualcostsavings.
Economics of Power Generation
A power station is required to deliver
power to a large number of consumers
to meet their requirements. While de-
signing and building a power station, efforts
should be made to achieve overall economy so
that the per unit cost of production is as low as
possible. This will enable the electric supply
company to sell electrical energy at a profit and
ensure reliable service. The problem of deter-
mining the cost of production of electrical en-
ergy is highly complex and poses a challenge to
power engineers. There are several factors which
influence the production cost such as cost of land
and equipment, depreciation of equipment, inter-
est on capital investment etc. Therefore, a care-
ful study has to be made to calculate the cost of
production. In this chapter, we shall focus our
attention on the various aspects of economics of
power generation.
The ABCs of M&V (measurement & verification of energy savings)EnergyCAP, Inc.
What are the ABCs of measurement and verification of energy savings? This presentation discusses:
A-Adoption and history of M&V in energy efficiency practices
B-Baseline adjustments and use vs. weather tuning
C-Option C: Whole Facility method use baselines vs. current utility bill comparison; as well as IPMVP, EVO, and popular M&V methods.
This webinar is part of the Energy Leader Webinar Series. Heinz is a PE, CEM, and is AEE’s 2013 International Energy Engineer of the Year. He is the Founder and CEO of EnergyCAP, Inc.
Power supply planning engineer J. James Peterson presented at the 2013 EMFC on how Idaho Power used AURORAxmp in an integrated resource planning (IRP) context. He discusses how to model both flexible hydro with storage as well as run-of-river hydro facilities (including efficiently incorporating stream flow forecasts) and how the company modeled combined wind to storage projects to ultimately analyze total portfolio costs over a 20-year horizon. Furthermore, James reviews how they applied AURORAxmp’s risk analysis to obtain appropriate stochastic treatment of fuel prices, load, hydro capability, and CO2 costs. He concludes with recommendations of how they effectively interfaced with MS SQL Server from the AURORAxmp user interface and produced useful queries and reports, like probability of exceedance for total portfolio costs.
Addressing RE Intermittency and Operation Aspects of Generating Units in Long...IEA-ETSAP
Addressing RE Intermittency and Operation Aspects of Generating Units in Long-term System Planning of Indian Power Sector
Anjali Jain, Malaviya National Institute of Technology, India
How do changes to future technology and fuel developments affect the optimal ...IEA-ETSAP
How do changes to future technology and fuel developments affect the optimal residential
heating decarbonisation pathway?
Mr. Jason Mc Guire, MaREI, UCC
District heating potential in the Italian NECP: assessment through a new resi...IEA-ETSAP
District heating potential in the Italian NECP: assessment through a new residential model in TIMES-RSE
Ms. Corine Nsangwe Businge, RSE - Ricerca sul Sistema Energetico
A Response Surface Based Wind Farm Cost (RS-WFC) model, is developed to evaluate the economics of wind farms. The RS-WFC model is developed using Extended Radial Basis Functions (E-RBF) for onshore wind farms in the U.S.. This model is then used to explore the in uence of di erent design and economic parameters, including number of turbines, rotor diameter and labor cost, on the cost of a wind farm. The RS-WFC model is composed of three parts that estimate (i) the installation cost, (ii) the annual Operation and Maintenance (O&M) cost, and (iii) the total annual cost of a wind farm. The accuracy of the cost model is favorably established through comparison with pertinent commercial data. Moreover, the RS-WFC model is integrated with an analytical power generation model of a wind farm. A recently developed Unrestricted Wind Farm Layout Optimization (UWFLO) model is used to determine the power generated by a farm. The ratio of the total annual cost and the energy generated by the wind farm in one year (commonly known as the Cost of Energy, COE) is minimized in this paper. The results show that the COE could decreasesigni cantlythroughlayoutoptimization,toobtainmillionsofannualcostsavings.
Economics of Power Generation
A power station is required to deliver
power to a large number of consumers
to meet their requirements. While de-
signing and building a power station, efforts
should be made to achieve overall economy so
that the per unit cost of production is as low as
possible. This will enable the electric supply
company to sell electrical energy at a profit and
ensure reliable service. The problem of deter-
mining the cost of production of electrical en-
ergy is highly complex and poses a challenge to
power engineers. There are several factors which
influence the production cost such as cost of land
and equipment, depreciation of equipment, inter-
est on capital investment etc. Therefore, a care-
ful study has to be made to calculate the cost of
production. In this chapter, we shall focus our
attention on the various aspects of economics of
power generation.
The ABCs of M&V (measurement & verification of energy savings)EnergyCAP, Inc.
What are the ABCs of measurement and verification of energy savings? This presentation discusses:
A-Adoption and history of M&V in energy efficiency practices
B-Baseline adjustments and use vs. weather tuning
C-Option C: Whole Facility method use baselines vs. current utility bill comparison; as well as IPMVP, EVO, and popular M&V methods.
This webinar is part of the Energy Leader Webinar Series. Heinz is a PE, CEM, and is AEE’s 2013 International Energy Engineer of the Year. He is the Founder and CEO of EnergyCAP, Inc.
Power supply planning engineer J. James Peterson presented at the 2013 EMFC on how Idaho Power used AURORAxmp in an integrated resource planning (IRP) context. He discusses how to model both flexible hydro with storage as well as run-of-river hydro facilities (including efficiently incorporating stream flow forecasts) and how the company modeled combined wind to storage projects to ultimately analyze total portfolio costs over a 20-year horizon. Furthermore, James reviews how they applied AURORAxmp’s risk analysis to obtain appropriate stochastic treatment of fuel prices, load, hydro capability, and CO2 costs. He concludes with recommendations of how they effectively interfaced with MS SQL Server from the AURORAxmp user interface and produced useful queries and reports, like probability of exceedance for total portfolio costs.
Addressing RE Intermittency and Operation Aspects of Generating Units in Long...IEA-ETSAP
Addressing RE Intermittency and Operation Aspects of Generating Units in Long-term System Planning of Indian Power Sector
Anjali Jain, Malaviya National Institute of Technology, India
Levanto at Harbour Quays menampilkan hunian kontemporer ekslusif terpilih. Levanto at Harbour Quays memberikan kehidupan, kemudahan akses dan gaya hidup yang nyaman di Goldcoast - Queensland
Optimization of Energy Efficiency and Conservation in Green Building Design U...Totok R Biyanto
The development of green building has been growing in terms of both design and quality. The development of green building bariered by the issue of expensive investment. Actually, green building can reduce energy usage in the building especially in utilization of cooling system. External load plays as major role of reduction in the use of the cooling system. External load is affected by type of wall sheathing, glass and roof. The proper selection of wall, type of glass and roof material are very important to reduce external load. Hence, the optimization of energy efficiency and conservation in green building design is required. Since this optimization consist of integer and non-linear equations, this problem fall into Mixed-Integer-Non-Linear-Programming (MINLP) that required global optimization technique such as stochastic optimization algorithms. In this paper the optimized variables i.e. type of glass and roof were chosen using Duelist, Killer-Whale and Rain-Water Algorithms to obtain the optimum energy and considering the minimal investment. The optimization results exhibited the single glass Planibel-G with the 3.2 mm thickness and glasswool insulation provided maximum ROI of 36.8486%, EUI reduction of 54 kWh/m2·year, CO2 emission reduction of 486.8971 tons/year and reduce investment of 4,078,905,465 IDR.
Drivers and Barriers in the current CSP marketLeonardo ENERGY
This webinar will provide a general view of drivers and barriers for CSP development, with a particular focus on the structure of the CSP Value Chain. From a technical point of view, the main key performances will be reviewed for the different technologies.
The economics of reducing the cost of energy by 13% revenuesSentient Science
At what “speed” is your digitalization effort? There is no dispute, digitalization will play a key role in improving the sustainability of renewable energy sources through efficiency. The question remains – Where are you? While the industry has embraced the importance, water cooler conversations continue - How to monetize the true value of the data from digitalization?
The webinar outlines:
• How digitalization is applied across all corporate business units: asset management, operations management, risk management and supply chain management to reduce the cost of energy by up to 13%
• An industry operator case study on monetizing your digitalization efforts and understand the true ROI
• A digitalization value statement to enable operations management can provide a short-term watch list from 0-12 months enabling early detection prior to consequential damage beyond an operator's current capabilities – attributes to 2-3% of cost avoidance or cost savings.
This paper develops a cost model for onshore wind farms in the U.S.. This model is then used to analyze the influence of different designs and economic parameters on the cost of a wind farm. A response surface based cost model is developed using Extended Radial Basis Functions (E-RBF). The E-RBF ap- proach, a combination of radial and non-radial basis functions, can provide the designer with significant flexibility and freedom in the metamodeling process. The E-RBF based cost model is composed of three parts that can estimate (i) the installation cost, (ii) the annual Operation and Maintenance (O&M) cost, and (iii) the total annual cost of a wind farm. The input param- eters for the E-RBF based cost model include the rotor diameter of a wind turbine,the number of wind turbines in a wind farm, the construction labor cost, the management labor cost and the technician labor cost. The accuracy of the model is favorably explored through comparison with pertinent real world data. It is found that the cost of a wind farm is appreciably sensitive to
the rotor diameter and the number of wind turbines for a given desirable total power output.
http://www.brewer-garrett.com
Ohio Energy Services Company, Brewer-Garrett, was represented at the Kentucky Energy Management Conference on Dec. 7, 2011. Energy Services Division Manager, Kelly Tisdale, presented "Strategies for Energy Efficiency and Conservation."
Building energy modeling consulting example slides and graphical presentations. Energy analysis, daylight modeling, weather visualizations. Studies include:
Building Simulation Process and Tools
Concept Visual Aids
Thermal Comfort Mean Radiant Temperature Mapping
Tech User Plug Load Study
LEED Energy Modeling
Detailed Energy Model :: Laboratory Energy Targeting
Energy Modeling :: Performance EUI Targeting
Detailed Analysis :: Energy Cost and Fuel Switching
Action Oriented Benchmarking :: Making Comparisons
Action Oriented Benchmarking :: Measured Data
Thermal Load Sensitivity for HVAC System Selection
Adaptive Thermal Comfort for Passive Cooling
Thermal Comfort in Active Cooling :: PPD and PMV
Outdoor Thermal Comfort :: UTCI
Daylight Depth and Visual Glare Assessment
Glazing Exterior Visualization and Peak Load Study
Automated Interior Blinds :: Peak Load Study
Local Weather Data Analysis
Kenya’s main electricity producer walks us through their efforts in energy efficiency including their 2010 CFL program and other energy management projects.
How to unlock productivity savings in mining operations part 2. "Show me the ...David Mallinson MAICD
Selecting the right Idler Rolls and Idler Roll management systems for your conveyor is critical.When the conveyor stops....it all stops..the mine stops - and that's millions of dollars. Read how innovative technology and the IoT is used to minimise costs improve productivity and mitigate risk.
This presentation provides details about how exactly to get the most from the data available from energy meters.
It is acknowledged by those working in the energy industry that it is rare for more than 50% of the savings potential available from metered data is used. This presentation points to where to find those "hidden" savings. Pleace contact me for more information.
Solwatt is a comprehensive programme designed by Solvay to implement an energy management system on large energy-intensive industrial sites.
The review phase follows two streams:
The technical stream, aiming at documenting in an action plan a minimum of 10% savings through a series of short payback incremental improvements.
The behavioural and management stream, aiming at fostering a lasting culture of energy management and savings on the site, with a detailed structure of KPIs and KAIs.
Similar to Practically Delivering Energy-ReducingTechnology To Optimise Efficiency On The Ground (20)
Practically Delivering Energy-ReducingTechnology To Optimise Efficiency On The Ground
1. Practically Delivering Energy-Practically Delivering Energy-
ReducingReducing
Technology To OptimiseTechnology To Optimise
Efficiency On The GroundEfficiency On The Ground
Andy WatsonAndy Watson CEngCEng
Former BAA Energy ManagerFormer BAA Energy Manager
Sim Energy
2. AgendaAgenda
The practicalities of energy efficiencyThe practicalities of energy efficiency
retrofitretrofit
Easing implementationEasing implementation
Training and auditing to assist deliveryTraining and auditing to assist delivery
Measuring performance improvementMeasuring performance improvement
4. Cost and Space ImplicationsCost and Space Implications
As of 2001:
Annual utility spend £40 million
Total 10yr Investment: £15 million
Overall saving £6 million
SPB on investment 2.5 years
Reduce CO2 emissions from utilities by 28% on BAU projections by 2010
• Case study – Heathrow Airport
5. Space implicationsSpace implications
Retrofitting widgets/gadgets rather thanRetrofitting widgets/gadgets rather than
assetsassets
Replacement assets smaller than originalReplacement assets smaller than original
Electronics replacing mechanicsElectronics replacing mechanics
Controls more reliable – less maintenanceControls more reliable – less maintenance
Integrate suppliers, engineering andIntegrate suppliers, engineering and
specialist contractorsspecialist contractors
6.
7.
8. The Business CaseThe Business Case
for The Energy Retrofitfor The Energy Retrofit
??????
Marginal Preferable
9. Maximising the ReturnsMaximising the Returns
(Telling the real story)(Telling the real story)
Increasing cost of utilities + inflationIncreasing cost of utilities + inflation
Comparison to other capital investmentsComparison to other capital investments
Infrastructure savingsInfrastructure savings
IRR/NPV not simple pay backIRR/NPV not simple pay back
Simple Payback
£1,000,000 investment
£100,000 annual saving
SPB = 10yrs
IRR = 10%
Full Financial Appraisal
£1,000,000 investment
£100,000 annual saving
+ increase in utilities
+ infrastructure savings over 10 yrs
PBI = 8yrs
IRR = 26.5%
REJECTED
13. The OutcomeThe Outcome
A series of asset-focussed sub-strategiesA series of asset-focussed sub-strategies
e.g.e.g.
14. Distribution of InvestmentDistribution of Investment
Chiller
8%
Lighting
9%
Heat generation
3%
H/C water
distribution
21%
Baggage handling
7%
Lifts, travs,
escalators
13%
BMS
8%
Air distribution
28%
Small power
3%
Costs
Chiller
20%
Lighting
5%
Heat generation
7%
H/C water distribution
10%
Baggage handling
5%
Lifts, travs, escalators
6%
BMS
14%
Air distribution
30%
Small power
3%
Savings
15. The EffectsThe Effects
Construction:
Discount for volumes
Space optimised
Risk:
Easier mitigation actions
Consistent suppliers – case studies
Repetitive -> reliable installation
On-costs:
Fewer projects
Quicker delivery
16. Implementation of the AssetImplementation of the Asset
The Maintenance Integration ProcessThe Maintenance Integration Process
Concept Options Design Delivery Operation
When?When?
Who?Who?
17. Performance ImprovementPerformance Improvement
Year on year performanceYear on year performance
Specific energy measuresSpecific energy measures
By nature of businessBy nature of business
Property – energy/mProperty – energy/m22
Manufacturing – energy/item madeManufacturing – energy/item made
Commercial – energy/turnoverCommercial – energy/turnover
By nature of equipmentBy nature of equipment
Air conditioning – energy/Degree dayAir conditioning – energy/Degree day
Escalators – energy/m ascentEscalators – energy/m ascent
All influenced by other driving factors – weather, load changes, wear,
CUSUM
18. Cumulative Sum AnalysisCumulative Sum Analysis
Ref: www.vesma.com
1. Establish a record1. Establish a record
of driving factorof driving factor
against energy useagainst energy use
y = 22.568x + 61.55
R2
= 0.96
0
100
200
300
400
500
600
0 5 10 15 20 25
Temp
Energy
2. Plot a scatter graph2. Plot a scatter graph
and establish a trendand establish a trend
19. 0
100
200
300
400
500
600
700
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Day
Energy
0
5
10
15
20
25
Temp
Prediction
Actual
Temp
3. Make predictions and record actual consumption
(60)
(40)
(20)
0
20
40
60
80
100
120
140
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
4. Calculate the variation between predicted and actual consumption
20. (200)
(100)
0
100
200
300
400
500
600
700
800
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Day
CUSUMenergy
5. Cumulatively sum the variations
Identify:
• Stable performance
• Optimum performance
• Problems stabilising
• Effects of energy efficiency on stable operation
21. Example – 3 storey common user office building
– chiller energy
Stable operation Fault Fault stabilises Repair Energy efficiency
installed
23. SummarySummary
Effective implementation is not done soloEffective implementation is not done solo
Communication is everythingCommunication is everything
Some of the best work is done in the officeSome of the best work is done in the office
Proper capital planning will save moreProper capital planning will save more
energy per unit spentenergy per unit spent
Who is your energy representative?
Is it old Fred, the most mature engineer in the maintenance department?
Do you have a team of energy executives and champions?
Is it a post waiting to be filled?
Whichever it is, for successful implementation and the most effective implementation…
If it’s going to be done, it needs to be done properly.
Token efforts die young. Using the scraps that fall from the table of the maintenance budget will end up costing more per kg of CO2 saved than properly making a capital investment plan – smart and sustained action will survive.
Installing energy efficiency rarely presents space issues.
Lots of energy retrofit programmes involve installing accessories rather than replacing whole assets
Even replacing assets normally means installing something more space efficient than it’s original
The increased use of electronics over mechanical and electrical drives means smaller equipment
A lack of moving parts in electronic equipment hopefully means less maintenance and access becomes less important
By far the most effective way or reducing space issues is ensuring that all parties examine the issue as a delivery objective. Smart design will overcome most space restrictions.
Energy efficient equipment need not be large or obstructive.
Office equipment efficiency can be improved with something as small as an electrical outlet.
Even with larger installations, neat design can avoid space issues. The Ecomesh in the lower picture can be removed for access to the chiller in about 1 minute.
Good energy efficiency need not even mean permanent fixed equipment.
Infrared technology has created many opportunities for efficiency in the last 10 years or so.
The image on the right shows where a camera paid for itself 6 times over in its first use (saved £300k in construction costs to find a leaking valve)
The purpose of a good business case is to turn financially marginal options into preferable opportunities.
This is where energy management of the past has often fallen over by approaching energy efficiency in a piecemeal fashion. But it need not be this way.
The first part of the better business case is ensuring you are telling the story accurately.
Ensuring these points are included will put you on the same playing field as many other investments that your company may make as a course of practise…
Where does that money go to on an energy project.
Normally because we are using a completed technical design there are not many design and development costs.
13M construction
1.5M oncost
0.5M risk
CO2 Investment strategy is a relatively small development project but tying up ½ million £ in risk money is still a lot of money which may not be used but on which the company is still paying interest
The other side of the business case is in minimising the cost of the investment. This does not mean stripping the project down to only focus on the most attractive opportunities but instead looking at the elements of the project.
The three main components are….
However the norm is to approach the appraisal looking at one solution at a time. In reality the energy specialist is often bombarded with energy solutions from potential suppliers. Knowing what to do and when to do it becomes a significant challenge. Getting the priorities wrong may still end up with a poor case for investment.
Instead however a more structured approach is to look at the opportunities from a fixed asset perspective.
What does this mean exactly.
An asset-based investment is examining each of your normal operational assets in turn and asking what can you do to make them as efficient as practicable.
To start, one plots the energy solutions on a chart.
Frequently, energy retrofit projects end up with kit which is disregarded, forgotten and eventually switched off.
One way to avoid this is to make sure it is integrated into normal maintenance practises. Even a regular check to make sure it is switched on and being used is better than leaving it to rot.
However proper maintenance integration also suffers from pitfalls. The first problem being when.
The next being who should be involved in the integration. There is no definitive list of who should be involved but at the minimum it should include:
The person who plans the maintenance
The person who owns the asset onto which the energy solution is being fitted
The person who maintains the asset
Remembering this group should be involved as early as possible.