The Experts below are selected from a list of 144690 Experts worldwide ranked by ideXlab platform
Lambros Ekonomou - One of the best experts on this subject based on the ideXlab platform.
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a heuristic combinatorial optimization algorithm for load leveling and peak Demand Reduction using energy storage systems
Electric Power Components and Systems, 2017Co-Authors: Simon U. Agamah, Lambros EkonomouAbstract:AbstractA method for applying combinatorial optimization algorithms to Energy Storage System (ESS) scheduling is presented in this paper. Scheduling is essential for the integration of ESS in electrical networks at grid level or at consumer level to achieve the objectives of integration such as constraint management or energy cost Reduction and for efficient storage dispatch. It also shows that for a time-of-use (ToU) tariff scheme based on the shape of the Demand profile with higher prices tied to peak periods, effective load-leveling, and peak Demand Reduction always leads to energy cost Reduction. While other methods usually require more information such as generation cost curves or ToU tariffs to schedule ESS, the proposed method uses only Demand profile information and ESS parameters to achieve load-leveling and peak Demand Reduction and also considers the entire optimization time horizon. This is done by combining heuristic bin packing and subset sum algorithms with specific modifications to the sta...
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Energy storage system scheduling for peak Demand Reduction using evolutionary combinatorial optimisation
Sustainable Energy Technologies and Assessments, 2017Co-Authors: Simon U. Agamah, Lambros EkonomouAbstract:This paper is concerned with finding an optimal energy storage system (ESS) schedule for peak Demand Reduction and load-levelling given only the information certainly available to and controllable by the Distribution Network Operator (DNO) which are the substation Demand profile information and the DNO-owned ESS parameters. Methods such as set-point control are usually suboptimal and can create new peaks. Other methods require more parameters and actions than the DNO can fully control to form the basis for optimisation and can be computationally complex. The method presented in this paper uses simple heuristics to find possible optimal operation points for the ESS and improves the solutions found using genetic algorithm optimisation. A case study is presented showing a UK distribution network with a peak capacity violation which is resolved using the method and the results are compared to a closed-loop set-point control method.
Krista Jabs Saral - One of the best experts on this subject based on the ideXlab platform.
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Demand Reduction in Multi-object Auctions with Resale: An Experimental Analysis
The Economic Journal, 2017Co-Authors: Marco Pagnozzi, Krista Jabs SaralAbstract:We analyse the effects of different resale mechanisms on bidders’ strategies in multi-object uniform-price auctions with asymmetric bidders. Our experiment consists of four treatments: one without resale and three resale treatments that vary the information available and the bargaining mechanism in the resale market. Resale markets induce Demand Reduction by high-value bidders and speculation by low-value bidders, thus affecting the allocation of the objects on sale. The magnitude of these effects, however, depends on the structure of the resale market. Features of the resale market that tend to increase its efficiency result in lower auction efficiency and seller's revenue.
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Demand Reduction in Multi-Object Auctions with Resale: An Experimental Analysis
2015Co-Authors: Marco Pagnozzi, Krista Jabs SaralAbstract:We analyze the effects of different resale mechanisms on bidders’ strategies in multi-object uniform-price auctions with asymmetric bidders. Our experimental design consists of four treatments: one without resale and three resale treatments that vary the information available and the bargaining mechanism in the resale market. The presence of a resale market induces Demand Reduction by high-value bidders and speculation by low-value bidders, thus affecting the allocation of the objects on sale. The magnitude of these effects, however, depends on the form of the resale market. Features of the resale market that tend to increase its efficiency result in lower auction efficiency and seller’s revenue. We also show that, without resale, asymmetry among bidders reduces Demand Reduction.
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Speculation and Demand Reduction in English Clock Auctions with Resale
SSRN Electronic Journal, 2010Co-Authors: Krista Jabs SaralAbstract:Many auctions are followed by a resale market which occurs when the winner of the auction resells the item won to one of the participants from the original auction. The existence of such transactions may initially appear counter intuitive. However, this paper will show that active inter-bidder resale results from payoff maximizing decisions in the auction that take into account the incentives of a resale opportunity. Specifically, I examine how the existence of an inter-bidder resale opportunity impacts bidder behavior in an English clock auction, and to what extent altering the bargaining power of the final buyer and reseller in the resale market determines the strategies followed in the initial auction, in an attempt to understand the existence of these inter-bidder transactions. Theoretical and behavioral analysis is used to develop hypotheses of speculation (bidding above value) and Demand Reduction (bidding below value) which are directly tested in a controlled experimental setting. While value bidding is a dominant strategy in a standard English clock auction without resale, when resale is allowed, this theoretical claim is weaker. Demand Reduction is observed when the bargaining power is shifted to the final buyer in resale and when the bargaining power is shifted toward the reseller, speculation is observed. The revenue achieved in the initial auction depends on the behavior observed in the auction. Regardless of bargaining power, revenue is shown to decrease below what would have been earned in an English auction without resale due to Demand Reduction. When the reseller has the bargaining power, and speculation is observed, this loss in revenue is somewhat mitigated by increased speculation.
Tomoko Hasegawa - One of the best experts on this subject based on the ideXlab platform.
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the effectiveness of energy service Demand Reduction a scenario analysis of global climate change mitigation
Energy Policy, 2014Co-Authors: Shinichiro Fujimori, Mikiko Kainuma, Toshihiko Masui, Tomoko HasegawaAbstract:A Reduction of energy service Demand is a climate mitigation option, but its effectiveness has never been quantified. We quantify the effectiveness of energy service Demand Reduction in the building, transport, and industry sectors using the Asia-Pacific Integrated Assessment/Computable General Equilibrium (AIM/CGE) model for the period 2015–2050 under various scenarios. There were two major findings. First, a 25% energy service Demand Reduction in the building, transport, and basic material industry sectors would reduce the GDP loss induced by climate mitigation from 4.0% to 3.0% and from 1.2% to 0.7% in 2050 under the 450ppm and 550ppm CO2 equivalent concentration stabilization scenarios, respectively. Second, the effectiveness of a Reduction in the building sector׳s energy service Demand would be higher than those of the other sectors at the same rate of the energy service Demand Reduction. Furthermore, we also conducted a sensitivity analysis of different socioeconomic conditions, and the climate mitigation target was found to be a key determinant of the effectiveness of energy service Demand Reduction measures. Therefore, more certain climate mitigation targets would be useful for the decision makers who design energy service Demand Reduction measures.
Laurie Buys - One of the best experts on this subject based on the ideXlab platform.
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Critical Success Factors for Peak Electricity Demand Reduction: Insights from a Successful Intervention in a Small Island Community
Journal of Consumer Policy, 2018Co-Authors: Peter Morris, Desley Vine, Laurie BuysAbstract:This paper examines a successful residential peak electricity Demand Reduction project which employed a multi-disciplinary approach. The purpose of this study was to examine the critical success factors necessary for reducing peak Demand and total energy consumption in a small Australian island community. This case study research is based on qualitative data obtained from semi-structured, in-depth interviews with residents from 22 households. It is proposed that the results of the examined project are transferable to other communities if the utility is able to develop the necessary trust, access, influence, and partnership with residential consumers required to create the environment for electricity Demand Reduction success. Findings from this research highlight the potential approach for future policymaking aimed at reducing peak electricity Demand and total energy consumption in multiple communities, thus helping achieve government low carbon targets while reducing infrastructure spending.
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Residential consumer perspectives of effective peak electricity Demand Reduction interventions as an approach for low carbon communities
2016Co-Authors: Peter S Morris, Desley Vine, Laurie BuysAbstract:Internationally, policy makers have been trying to find ways of changing residential electricity use through improved energy efficiency or by means of behaviour change. Drawing on evidence from an Australian project undertaken in a community of approximately 2200 residents, this paper reviews how a combination of interventions have successfully reduced electricity Demand levels to below that of pre-intervention levels. Employing a qualitative methodology and using this successful project as the basis of a case study, this research explores the effectiveness of the electricity Demand Reduction interventions from the perspective of residents from 22 households. By combining and tailoring interventions to the specific needs and motivations of individual householders, this study demonstrates how a multi-pronged and integrated approach can be effective in addressing the multi-faceted challenge of energy efficiency and behaviour change. The experience with this Australian residential community in achieving an ongoing Reduction in electricity use is rare and the findings from the research are internationally relevant in informing policy and practice directions for achieving government-set lower carbon emission targets. This research has important implications for addressing issues related to total consumption and peak Demand Reduction, both financial and environmental, for the benefit of energy providers and consumers.
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application of a bayesian network complex system model to a successful community electricity Demand Reduction program
Creative Industries Faculty; Science & Engineering Faculty, 2015Co-Authors: Peter S Morris, Desley Vine, Laurie BuysAbstract:Utilities worldwide are focused on supplying peak electricity Demand reliably and cost effectively, requiring a thorough understanding of all the factors influencing residential electricity use at peak times. An electricity Demand Reduction project based on comprehensive residential consumer engagement was established within an Australian community in 2008, and by 2011, peak Demand had decreased to below pre-intervention levels. This paper applied field data discovered through qualitative in-depth interviews of 22 residential households at the community to a Bayesian Network complex system model to examine whether the system model could explain successful peak Demand Reduction in the case study location. The knowledge and understanding acquired through insights into the major influential factors and the potential impact of changes to these factors on peak Demand would underpin Demand Reduction intervention strategies for a wider target group.
Gabrial Anandarajah - One of the best experts on this subject based on the ideXlab platform.
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the role of energy service Demand Reduction in global climate change mitigation combining energy modelling and decomposition analysis
Energy Policy, 2011Co-Authors: Fabian Kesicki, Gabrial AnandarajahAbstract:Abstract In order to reduce energy-related CO 2 emissions different options have been considered: energy efficiency improvements, structural changes to low carbon or zero carbon fuel/technologies, carbon sequestration, and Reduction in energy-service Demands (useful energy). While efficiency and technology options have been extensively studied within the context of climate change mitigation, this paper addresses the possible role of price-related energy-service Demand Reduction. For this analysis, the elastic Demand version of the TIAM–UCL global energy system model is used in combination with decomposition analysis. The results of the CO 2 emission decomposition indicate that a Reduction in energy-service Demand can play a limited role, contributing around 5% to global emission Reduction in the 21st century. A look at the sectoral level reveals that the Demand Reduction can play a greater role in selected sectors like transport contributing around 16% at a global level. The societal welfare loss is found to be high when the price elasticity of Demand is low.
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Global Climate Change Mitigation: What is the role of Demand Reduction?
2010Co-Authors: Gabrial Anandarajah, Fabian KesickiAbstract:There are different options to reduce CO2 emissions: efficiency improvement, structural changes to low carbon or carbon-free technologies, sequestration and Demand Reduction. While the decarbonisation of secondary energy carriers and technological changes have an important role in climate change mitigation, this paper addresses the role of Demand Reduction. For this analysis, the elastic Demand version of the TIAM-UCL global energy system model is used under different long-term low carbon energy scenarios through to 2100 at low, medium and high values for Demand elasticity. The role of Demand Reduction is examined by means of decomposition analysis at regional and global level. The results of the emission decomposition indicate that a Reduction in the Demand for energy services can play a limited role, contributing around 5% to global emission Reduction in the 21 st century. A look at the sectoral level reveals that Demand Reduction is very different from sector to sector with Demand Reduction contributing around 16% in the transport sector and about 2% in the residential sector at a global level. Analysis also finds that Demand Reduction can significantly affect the regional emission mix.