Multi-Dimensional Assessment for Residential Lighting Demand Side Management: A Proposed Framework

2013 ◽  
Vol 284-287 ◽  
pp. 3612-3616 ◽  
Author(s):  
Yusak Tanoto ◽  
Murtiyanto Santoso ◽  
Emmy Hosea
Keyword(s):  
Life Cycle Cost ◽  
Energy Use ◽  
Cost Benefit ◽  
Economic Cost ◽  
Demand Side Management ◽  
Demand Side ◽  
Analytic Hierarchy ◽  
Management Planning ◽  
End Use ◽  
Electricity Saving

Effective Demand Side Management (DSM) practices require adequate assessment in which several important factors are taken into consideration. Criteria to measure DSM potential and setting DSM targets are substantial to be well predefined. The aim of this paper is to propose assessment framework towards effective residential lighting demand side management planning. The assessment involves multi-dimensional factors comprising technical, economic, society preference, and environmental emission along with their mean of analysis. Technical dimension in terms of electricity demand is analyzed using Baseline Energy Use method whereas Life Cycle Cost analysis along with Cost-Benefit Assessment is used to calculate economic cost and other parameters during the project lifetime. Multi-criteria decision making using Analytic Hierarchy Process is performed to capture customer preference on selecting the preferable DSM loading scheme. In addition, environmental emission reduction potential is revealed using End-use Electricity Saving method.

Study on Demand Side Management of Railway Electricity System

2014 ◽  
Vol 631-632 ◽  
pp. 1347-1350
Author(s):  
Bing Feng Liu
Keyword(s):  
Power System ◽  
Index System ◽  
Demand Side Management ◽  
Fuzzy Evaluation ◽  
Demand Side ◽  
Analytic Hierarchy ◽  
Electricity System ◽  
The Index System ◽  
Hierarchy Process

An index system for evaluating the demand side management (DSM) on railway temporary power system is established in this thesis, and the part weight and the whole weight of the index system are calculated by the analytic hierarchy process (AHP). The basic theory of fuzzy evaluation is introduced, and the feasibility of applying it to DSM on railway temporary power system is analyzed. Through the establishment of index system, evaluation and comparison to DSM projects can be carried out horizontal and vertical. Then identify gaps and weaknesses, analyze the causes, guide the consciousness of energy conservation and environmental protection, supervised of electricity in an orderly manner, establish DSM long-term management mechanism.

Study of Nanjing Demand Side Management Based on Cost-Benefit Analysis - Take Green Lighting as an Example

2015 ◽  
Vol 737 ◽  
pp. 260-268
Author(s):  
Qiu Hua Liu ◽  
Kun Xu ◽  
Hao Min Wang
Keyword(s):  
Cost Effectiveness ◽  
Electric Power ◽  
Development Strategy ◽  
Power Supply ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Demand Side Management ◽  
Demand Side ◽  
Electric Power Supply ◽  
The Cost

Electric power supply is one of the most important aspects of China’s national energy development strategy (NEDS). As major economic unit as well as major energy consumer, Jiangsu province is facing serious energy supply challenges. Under such circumstances, positive actions are taken by local government in respond to NEDS which put energy saving in the first place, and demand side management (DSM) is implemented. DSM is an important measure which can release rush hour electric supply pressure, enhance energy efficiency, optimize electric power utilization, and it is beneficial for sustainable development. This paper is based on the analysis of the current DSM situation of Nanjing, and green lighting is taken as an example. An empirical analysis is given to cost-effectiveness of the implementation of green lighting. Finally, the conclusion that the cost-effectiveness of the implementation of green lighting is economically viable to power supply companies, electric customers and the whole society is drawn.

scholarly journals Simulation Studies to Quantify the Impact of Demand Side Management on Environmental Footprint

2021 ◽  
Vol 13 (17) ◽  
pp. 9504
Author(s):  
Sulaiman A. Almohaimeed ◽  
Siddharth Suryanarayanan ◽  
Peter O’Neill
Keyword(s):  
Energy Conservation ◽  
Cost Benefit Analysis ◽  
Flow Analysis ◽  
Cost Benefit ◽  
Demand Side Management ◽  
Electric Utility ◽  
Test System ◽  
Base Case ◽  
Demand Side ◽  
The Impact

The increased use of energy leads to increased energy-related emissions. Demand side management (DSM) is a potential means of mitigating these emissions from electric utility generating units. DSM can significantly reduce emissions and provide economic and reliability benefits. This work presents some DSM techniques, such as load shifting, energy conservation, and valley filling. Furthermore, this work explains the most common DSM programs. To quantify the effect of DSM in diminishing carbon footprint, this paper performs power flow analysis on a yearly load profile corresponding to Fort Collins, Colorado, U.S. This work used the IEEE 13-node test system to simulate several scenarios from the multi-criteria decision-making (MCDM) alternatives, both individually and integrated. For the base case, emissions decrease by 16% from the 2005 level. The “energy conservation” option achieved a 20% reduction in emissions, integrating both alternatives increased the emissions mitigation up to 22%. Simulation of the residential sector shows the “communication and intelligence” option reduces emissions about 14% from the 2005 level. A scenario that combines “electric stationary storage” with “communication and intelligence” diminishes the emissions by more than 15%. The last scenario examined all MCDM alternatives combined into one option, resulting in a 20% emissions reduction. We also conducted a cost benefit analysis (CBA) to investigate economic, technical, and environmental costs and benefits associated with each alternative. The economic evaluation shows that “electric stationary storage” is the best option since it charges during lower electricity prices and discharges during peaking demand. The economic analysis presents a trade-off chart, so the decision maker can select the alternative based on their preference.

Home Load-Side Management in Smart Grids Using Global Optimization

2019 ◽  
pp. 127-161
Author(s):  
Abdelmadjid Recioui
Keyword(s):  
Smart Grids ◽  
Energy Use ◽  
Peak Load ◽  
Computational Cost ◽  
Demand Side Management ◽  
Demand Side ◽  
Demand And Supply ◽  
Management Techniques ◽  
Increasing Demand

Demand-side management (DSM) is a strategy enabling the power supplying companies to effectively manage the increasing demand for electricity and the quality of the supplied power. The main objectives of DSM programs are to improve the financial performance and customer relations. The idea is to encourage the consumer to use less energy during peak hours, or to move the time of energy use to off-peak times. The DSM controls the match between the demand and supply of electricity. Another objective of DSM is to maintain the power quality in order to level the load curves. In this chapter, a genetic algorithm is used in conjunction with demand-side management techniques to find the optimal scheduling of energy consumption inside N buildings in a neighborhood. The issue is formulated as multi-objective optimization problem aiming at reducing the peak load as well as minimizing the energy cost. The simulations reveal that the adopted strategy is able to plan the daily energy consumptions of a great number of electrical devices with good performance in terms of computational cost.

Home Load-Side Management in Smart Grids Using Global Optimization

2021 ◽  
pp. 1017-1052
Author(s):  
Abdelmadjid Recioui
Keyword(s):  
Smart Grids ◽  
Energy Use ◽  
Peak Load ◽  
Computational Cost ◽  
Demand Side Management ◽  
Demand Side ◽  
Demand And Supply ◽  
Management Techniques ◽  
Increasing Demand

Demand-side management (DSM) is a strategy enabling the power supplying companies to effectively manage the increasing demand for electricity and the quality of the supplied power. The main objectives of DSM programs are to improve the financial performance and customer relations. The idea is to encourage the consumer to use less energy during peak hours, or to move the time of energy use to off-peak times. The DSM controls the match between the demand and supply of electricity. Another objective of DSM is to maintain the power quality in order to level the load curves. In this chapter, a genetic algorithm is used in conjunction with demand-side management techniques to find the optimal scheduling of energy consumption inside N buildings in a neighborhood. The issue is formulated as multi-objective optimization problem aiming at reducing the peak load as well as minimizing the energy cost. The simulations reveal that the adopted strategy is able to plan the daily energy consumptions of a great number of electrical devices with good performance in terms of computational cost.

Reflecting Customer Needs in Demand Side Management Planning

1985 ◽  
Vol PER-5 (8) ◽  
pp. 40-41 ◽  
Author(s):  
John E. Flory ◽  
John H. Chamberlin
Keyword(s):  
Demand Side Management ◽  
Demand Side ◽  
Management Planning ◽  
Customer Needs

scholarly journals Demand-side decarbonization and electrification: EMF 35 JMIP study

2021 ◽  
Vol 16 (2) ◽  
pp. 395-410 ◽  
Author(s):  
Shogo Sakamoto ◽  
Yu Nagai ◽  
Masahiro Sugiyama ◽  
Shinichiro Fujimori ◽  
Etsushi Kato ◽  
...  
Keyword(s):  
Energy Use ◽  
Combustion Engine ◽  
Ghg Emissions ◽  
Electricity Consumption ◽  
Demand Side ◽  
Water Heater ◽  
Final Energy ◽  
Heat Pump Water Heater ◽  
Intercomparison Project ◽  
End Use

AbstractJapan’s long-term strategy submitted to the United Nations Framework Convention on Climate Change emphasizes the importance of improving the electrification rates to reducing GHG emissions. Using the five models participating in Energy Modeling Forum 35 Japan Model Intercomparison project (JMIP), we focused on the demand-side decarbonization and analyzed the final energy composition required to achieve 80% reductions in GHGs by 2050 in Japan. The model results show that the electricity share in final energy use (electrification rate) needs to reach 37–66% in 2050 (26% in 2010) to achieve the emissions reduction of 80%. The electrification rate increases mainly due to switching from fossil fuel end-use technologies (i.e. oil water heater, oil stove and combustion-engine vehicles) to electricity end-use technologies (i.e. heat pump water heater and electric vehicles). The electricity consumption in 2050 other than AIM/Hub ranged between 840 and 1260 TWh (AIM/Hub: 1950TWh), which is comparable to the level seen in the last 10 years (950–1035 TWh). The pace at which electrification rate must be increased is a challenge. The model results suggest to increase the electrification pace to 0.46–1.58%/yr from 2030 to 2050. Neither the past electrification pace (0.30%/year from 1990 to 2010) nor the outlook of the Ministry of Economy, Trade and Industry (0.15%/year from 2010 to 2030) is enough to reach the suggested electrification rates in 2050. Therefore, more concrete measures to accelerate dissemination of electricity end-use technologies across all sectors need to be established.

scholarly journals Environmental and Economic of Flooring Building Materials

2014 ◽  
pp. 47-59
Author(s):  
Nachawit Tikul
Keyword(s):  
Life Cycle ◽  
Environmental Impact ◽  
Life Cycle Cost ◽  
Building Materials ◽  
Cost Benefit ◽  
Green Building ◽  
Economic Cost ◽  
Building Design ◽  
Solid Wood ◽  
Ceramic Tiles

Green building design requires use of building materials that minimize environmental impact, necessitating selection of building materials by their environmental profile as well as economic cost-benefit considerations. The objective of this research is to determine the environmental impacts per square meter of three flooring materials; ceramic tiles, marble tiles, andparquet produced in Thailand. Life cycle cost (LCC) of the three materials are determined and compared. The study finds that ceramic tiles cause the greatest environmental impact, especially during the material extraction phase. When calculating all costsincurred throughout the life-cycle, the cost of untreated solid wood parquet is highest.

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