A Scalable Energy–Economy Model for State-Level Policy Analysis Applied to a Demand-Side Management Program

2020 ◽  
Vol 34 (4) ◽  
pp. 372-386
Author(s):  
Zachary A. Wendling ◽  
David C. Warren ◽  
Barry M. Rubin ◽  
Sanya Carley ◽  
Kenneth R. Richards
Keyword(s):  
Green Building ◽  
State Level ◽  
Demand Side Management ◽  
Management Program ◽  
Demand Side ◽  
Low Carbon ◽  
Economic Sectors ◽  
Endogenous Variables ◽  
Performance Results ◽  
Low Carbon Energy

Over the past two decades, states and cities implemented low-carbon energy development, renewable portfolio standards, demand-side management (DSM), renewable energy production incentives, green building requirements, regional carbon trading agreements, and other energy-based economic development initiatives. Yet the dearth of state-level and substate-level models makes it difficult to predict the effects of such actions. This article addresses this shortcoming by presenting the performance results of the new Indiana Scalable Economy and Energy Model (IN-SEEM)—a model utilizing a dynamic, simultaneous equations framework—and demonstrates the model’s capabilities with an analysis of electricity price increases from a DSM program in the state of Indiana. Overall performance of the model is strong, with high adjusted R2 values and low mean absolute percent errors for most of 30 endogenous variables. A DSM price increase analysis finds variation in impact across the state’s 10 major economic sectors and small changes in energy consumption.

Research on the Ecological Characteristics and Transformation of Traditional Cave Dwelling in Central Part of Shanxi Province - Taking Hougou Village, Yuci as an Example

2013 ◽  
Vol 689 ◽  
pp. 439-443
Author(s):  
Xue Jing Zhao ◽  
Qian Fei Shi
Keyword(s):  
Thermal Environment ◽  
Green Building ◽  
Simulation Software ◽  
Shanxi Province ◽  
Vertical Shaft ◽  
Low Carbon ◽  
The Loess Plateau ◽  
Ecological Characteristics ◽  
Building Form ◽  
Low Carbon Energy

Cave dwelling is a typical traditional building form in the Loess Plateau of China. The thesis analyses the ecological characteristics of cave dwelling in Hougou village of Yuci from the green building perspective. It summarizes its strengths and shortages based on low carbon energy saving. The transformation methodologies include adding sunlight rooms, making high windows in the northern walls and adding vertical shaft for lighting and ventilation. This paper makes a comparative analysis on the inside thermal environment by using simulation software and aims to provide suggestions to the green building issues.

Issues in forecasting demand-side management program impacts

1985 ◽  
Vol 73 (10) ◽  
pp. 1496-1502 ◽  
Author(s):  
B.A. Smith ◽  
M.R. McRae ◽  
E.L. Tabakin
Keyword(s):  
Demand Side Management ◽  
Management Program ◽  
Demand Side

scholarly journals Multiobjective Optimization for Demand Side Management Program in Smart Grid

2018 ◽  
Vol 14 (4) ◽  
pp. 1482-1490 ◽  
Author(s):  
Dan Li ◽  
Wei-Yu Chiu ◽  
Hongjian Sun ◽  
H. Vincent Poor
Keyword(s):  
Multiobjective Optimization ◽  
Smart Grid ◽  
Demand Side Management ◽  
Management Program ◽  
Demand Side

scholarly journals Towards net-zero carbon performance: using demand side management and a low carbon grid to reduce operational carbon emissions in a UK public office

2021 ◽  
Vol 2069 (1) ◽  
pp. 012150
Author(s):  
E Burman ◽  
N Jain ◽  
M de-Borja-Torrejón
Keyword(s):  
Carbon Emissions ◽  
Demand Side Management ◽  
Carbon Intensity ◽  
Grid Integration ◽  
Demand Side ◽  
Low Carbon ◽  
Electricity Grid ◽  
Integration Strategy ◽  
Carbon Performance ◽  
And Control

Abstract This paper investigates the performance of an office building that has achieved a low carbon performance in practice thanks to a performance contract and Soft Landings approach. The findings show the potential of this building for further de-carbonisation as a result of electrification of heating and load shifting to take advantage of a low carbon electricity grid. Whilst retrospective modelling based on the past carbon intensity data shows the effectiveness of demand-side management, assessment of the existing smart readiness of the building revealed that the building services and control strategy are not fully equipped with the data analytics and carbon or price signal responsiveness required to facilitate grid integration. The environmental strategy and procurement method used for this building combined with an effective grid integration strategy can serve as a prototype for low carbon design to achieve the ever stringent carbon emissions objectives set out for the non-domestic buildings.

Smart Grid and Demand Side Management

2020 ◽  
pp. 139-159
Author(s):  
Alper Ozpinar ◽  
Eralp Ozil
Keyword(s):  
Smart Grid ◽  
Supply And Demand ◽  
Carbon Capture And Storage ◽  
Demand Side Management ◽  
Demand Side ◽  
Low Carbon ◽  
Energy Technologies ◽  
The Common ◽  
Management Optimization ◽  
New Policies

Energy becoming more and more crucial and critical in the civilized populations and locates itself as one of the major requirements of living standards. Obtaining the energy from fossil fuels still is one of the common sources of energy production; however, there is a common understanding of increasing the potential use of renewables, carbon capture and storage, energy efficiency and intelligence and smart applications for collecting, distributing and transmission of the energy between the supply and demand locations. Those applications and generating the new policies, roadmaps in order to make an energy revolution and increase the usage of low-carbon energy technologies targeting the decrease of energy related emissions. In this chapter, the authors explains the common issues about smart grid and demand side management and possible use artificial intelligence and metaheuristic algorithms for smart grid and demand side management optimization and scheduling.

scholarly journals Demand-side policy: Global evidence base and implementation patterns

2018 ◽  
Vol 29 (5) ◽  
pp. 706-731 ◽  
Author(s):  
Peter Warren
Keyword(s):  
Business Models ◽  
Demand Side Management ◽  
Evidence Base ◽  
Management Policy ◽  
Demand Side ◽  
Low Carbon ◽  
High Quality ◽  
Ex Post ◽  
Management Policies ◽  
Global Evidence

Demand-side management (DSM) policy refers to government policies for managing energy consumption in order to meet environmental and energy security objectives. The broader term of demand-side management encompasses energy efficiency, demand response and on-site generation and storage. A comprehensive meta-evaluation of the global evidence base for demand-side policy is lacking in the literature, and this paper contributes to filling this research gap. The paper focuses on the quality of the evidence base and policy implementation patterns and identifies 30 countries and 36 sub-national states across six continents that have implemented demand-side management policies and produced high-quality ex-post evaluations of those policies. The 690 high-quality evaluations are primarily conducted by industry rather than by governments or academia. The results show that 12 types of individual demand-side management policy and 9 demand-side management policy packages have been implemented and evaluated, and that carbon emissions reduction is the primary driver for demand-side management policies. The evidence base is greatest in the USA, the UK, California, France and China, and alternative utility business models (such as performance targets and decoupling policies), information campaigns, loans and subsidies, utility obligations and performance standards are the most commonly implemented and evaluated policies. This paper argues that demand-side policy will play an increasingly important role as a complement to low carbon activities on the supply-side in the transition to a more environmentally sustainable energy system.

scholarly journals Impact of Demand-Side Management on the Reliability of Generation Systems

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2155 ◽  
Author(s):  
Hussein Jumma Jabir ◽  
Jiashen Teh ◽  
Dahaman Ishak ◽  
Hamza Abunima
Keyword(s):  
Power Supply ◽  
Sequential Monte Carlo ◽  
Demand Side Management ◽  
Management Program ◽  
Electrical Network ◽  
Demand Side ◽  
Peak Period ◽  
Load Shifting ◽  
Shifting Strategy ◽  
Unused Capacity

The load shifting strategy is a form of demand side management program suitable for increasing the reliability of power supply in an electrical network. It functions by clipping the load demand that is above an operator-defined level, at which time is known as peak period, and replaces it at off-peak periods. The load shifting strategy is conventionally performed using the preventive load shifting (PLS) program. In this paper, the corrective load shifting (CLS) program is proven as the better alternative. PLS is implemented when power systems experience contingencies that jeopardise the reliability of the power supply, whereas CLS is implemented only when the inadequacy of the power supply is encountered. The disadvantages of the PLS approach are twofold. First, the clipped energy cannot be totally recovered when it is more than the unused capacity of the off-peak period. The unused capacity is the maximum amount of extra load that can be filled before exceeding the operator-defined level. Second, the PLS approach performs load curtailment without discrimination. This means that load clipping is performed as long as the load is above the operator-defined level even if the power supply is adequate. The CLS program has none of these disadvantages because it is implemented only when there is power supply inadequacy, during which the amount of load clipping is mostly much smaller than the unused capacity of the off-peak period. The performance of the CLS was compared with the PLS by considering chronological load model, duty cycle and the probability of start-up failure for peaking and cycling generators, planned maintenance of the generators and load forecast uncertainty. A newly proposed expected-energy-not-recovered (EENR) index and the well-known expected-energy-not-supplied (EENS) were used to evaluate the performance of proposed CLS. Due to the chronological factor and huge combinations of power system states, the sequential Monte Carlo was employed in this study. The results from this paper show that the proposed CLS yields lower EENS and EENR than PLS and is, therefore, a more robust strategy to be implemented.

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