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Asianet Services provides expertise in carbon credit projects including: 1) Preparing project documents and calculating emissions reductions for clean energy projects seeking carbon credits. 2) Assisting with host country government approval and negotiating emissions reductions purchase agreements. 3) Managing various risks for carbon credit projects through risk identification, analysis, transfer, and disaster management solutions.
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The document discusses renewable energy strategy and opportunities in the UK. It outlines the UK's long term vision and supportive policies to increase renewable energy generation. Key points include the renewable obligation certificate scheme, rapid growth of onshore wind and offshore wind targets, and plans to meet the EU renewable energy target of 15% by 2020 through various policy measures and a focus on technologies like offshore wind, biomass, and wave/tidal.
Iseu efficiency april2011 final
This document discusses energy consumption and greenhouse gas emissions trends from 1950 to 2050. It notes that world energy consumption is projected to increase 3-fold over this period while population only increases 1.5-fold. Renewable energy sources have maintained a flat market share despite overall energy needs growing. Transportation greenhouse gas emissions have risen 30% since 1990 despite improved vehicle efficiency. Buildings account for a large portion of emissions both from their construction and operation. Moving to a green economy will require both high and low technology solutions as well as alternative business models focused on sustainability.
Advit Foundation - Energy Efficiency
The document discusses strategies for mainstreaming energy efficiency and reducing carbon emissions in the Indian apparel industry. It provides an overview of baseline energy consumption and carbon emissions for a typical apparel manufacturing unit. Common energy efficiency measures are identified that could save on average 4.6 lakh units of electricity annually for each unit, reducing costs by 19 lakhs rupees annually after investing 40 lakhs rupees. Implementing energy efficiency and using an ESCO model could reduce carbon emissions from each unit by around 105 tonnes or 7% of current emissions annually. Monitoring and verification plans are needed to track performance and ensure savings.
The Renewables EU Directive
On the 23rd of January 2008, the European Commission launched a proposal for a Directive on promoting the use of renewable energy. The Directive is designed to address all sectors of the renewable energy sector with the goal of reaching a target of 20% of Europe's energy being produced from renewable sources by 2020.
The national targets and action plans are presented, as well as indicative trajectories. Accounting rules are also detailed. The Directive describes how Guarantees of Origin will work as a control and trading instrument through issuing, cancelling and transferring. The text includes strong guidelines and recommendations for administrative procedures, regulations and codes. Finally, attention will be given on issues related to electricity grid access.
EAM ASE Breakfast Seminar NSW - April 2008
This document discusses global asset sustainability and how an enterprise asset management system can help organizations improve the sustainability of their assets. It provides examples of how tracking asset energy consumption and efficiency can help identify savings opportunities from reducing waste and improving maintenance practices. The system allows integration of energy data to help optimize asset performance, replacement decisions, and achieve benchmark sustainability goals.
Optimal Expenditure and Benefit Cost Based Location, Size and Type of DGs in ...
The economic issue is an essential element to determine whether DG should be installed or not. This work presents the economical approach for multi-type DGs placement in microgrid systems with more comprehensive overview from DG’s owner perspective. Adaptive Real Coded GA (ARC-GA) with replacement process is developed to determine the location, type, and rating of DGs so as the maximum profit is achieved. The objectives of this paper are maximizing benefit cost and minimizing expenditure cost. All objectives are optimized while maintaining the bus voltage at the acceptable range and the DGs penetration levels are below of the DGs capacities.The proposed method is applied on the 33 bus microgrids systems using conventional and renewable DG technology, namely Photovoltaic (PV), Wind Turbine (WT), Micro Turbine (MT) and Gas Turbine (GT). The simulation results show the effectiveness of the proposed approach.
Economics of wind energy
The document provides an analysis of the levelized cost of electricity (LCOE) from wind power generation in India. It discusses the key cost components that make up the LCOE calculation, including capital costs, operation and maintenance costs, the production tax credit, depreciation, taxes, and royalties. It then provides an example calculation of the LCOE for a hypothetical 600 kW wind turbine over a 20 year project lifetime, accounting for the turbine and installation costs, annual income from electricity sales, operation and maintenance costs, and discounting future cash flows to calculate the net present value.
The EU Renewables Directive
The document discusses the key elements of an EU directive proposal on promoting renewable energy sources, including:
- Targets of 20% renewable energy share in final energy consumption and 10% renewable share for transport by 2020.
- National action plans for each member state to meet indicative targets.
- Guarantees of origin to prove the renewable source of electricity, heating, cooling produced and consumed.
- Support schemes like feed-in tariffs or obligations on power producers and consumers to promote renewable energy development and use.
- Administrative procedures, regulations, and reporting requirements for member states to implement the directive.
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Asianet Services
- 4. Asianet Services PDD Extracts – 2009 Emissions Reductions Operating margin Calculations EFgrid,Simple OM,y = Σ FCi,m,y ּ NCVi,y ּ EFCO2,i,y,i,m _____ _________________ ΣEGm,y Either the three most recent years for which data is available at the time of submission of the CDM-PDD to the DOE for validation (ex ante option) = y All fossil fuel types combusted in power plant / unit m in year y = i All power plants / units serving the grid in year y except low-cost / must-run power plants / units = m Net electricity generated and delivered to the grid by power plant / unit m in year y (MWh) = EG m,y CO2 emission factor of fossil fuel type i in year y (tCO2/GJ) = EF CO2,i,y Net calorific value (energy content) of fossil fuel type i in year y (GJ / mass or volume unit) = NCV i,y Amount of fossil fuel type i consumed by power plant / unit m in year y (mass or volume unit) = FC i,m,y Simple operating margin CO2 emission factor in year y (tCO2/MWh) = EF grid,Simple OM,y
- 5. Asianet Services PDD Extracts – 2009 Emissions Reductions Build Margin Calculations EFgrid,BM,y = Σ EGm,y ּ EFEL,m,y __________ m____________ ΣEGm,y,m Most recent historical year for which power generation data is available = y Power units included in the build margin = M CO2 emission factor of power unit m in year y (tCO2/MWh) = EF EL,m,y Net quantity of electricity generated and delivered to the grid by power unit m in year y (MWh) = EG m,y Build margin CO2 emission factor in year y (tCO2/MWh) = EF grid,BM,y
- 6. Asianet Services PDD Extracts – Project Emissions (a) If the power density ( PD ) of power plant is greater than 4 W/m2 and less than or equal to 10 W/m2: PEy = EFRes · TEGy 1000 Were: PEy = Emission from reservoir expressed as tCO2e/year EFRes = is the default emission factor for emissions from reservoirs, and the default value as perEB23 is 90 KgCO2e /MWh. TEGy = Total electricity produced by the project activity, including the electricity supplied to the grid and the electricity supplied to internal loads, in year y (MWh).
- 7. Asianet Services EFy= WOM ⋅EFOM,y + WBM ⋅EFBM ,y EFy = (0.5) ּ (0.749 tCO2/MWh) + (0.5) ּ (0.737 tCO2/MWh) EFy = 0.743 tCO2/MWh Step 4. Calculate baseline emissions BEy = EGy ⋅ EFy BEy = (6,478 Mwh/yr) ּ (0.743 tCO2/MWh) BEy = 4,813 tCO2 Step 5. Calculate project emissions PEy = EFRes · TEGy 1000 PEy = (90 Kg CO2e /MWh) ּ (6.6 Gwh) 1000 PEy = 595 tCO2 Step 6. Calculate emission reductions ERy =BEy - PEy ERy = (4,813 tCO2) – (595 tCO2) ERy = 4,218 tCO2 PDD Extracts – 2009 Emissions Reductions