scholarly journals Flexibility-constraint integrated resource planning framework considering demand and supply side uncertainties with high dimensional dependencies

2021 ◽  
Vol 133 ◽  
pp. 107223
Author(s):  
Saeed Poorvaezi-Roukerd ◽  
Amir Abdollahi ◽  
Wei Peng
Keyword(s):  
Resource Planning ◽  
High Dimensional ◽  
Supply Side ◽  
Demand And Supply ◽  
Planning Framework ◽  
Integrated Resource Planning

scholarly journals MITIGATING CO EMISSIONS FROM THE POWER SECTOR: LEAST-COST ANALYSIS OF POLICY OPTIONS IN THAILAND

2017 ◽  
Vol 19 (1) ◽  
pp. 69-76
Author(s):  
Bundit Limmeechokchai ◽  
Somporn Tanatvan ◽  
Ram M. Shrestha
Keyword(s):  
Electricity Generation ◽  
Resource Planning ◽  
Developed Countries ◽  
Supply Side ◽  
Demand Side ◽  
Generation Expansion Planning ◽  
Power Sector ◽  
Expansion Planning ◽  
Generation Expansion ◽  
Integrated Resource Planning

Traditionally, the method used in the electricity generation expansion planning has concentrated only on the supply-side options to identify the sequence of generation additions meet the forecasted demand at a minimum cost. Electricity generation expansion planning with both supply- and demand-side options, commonly known as integrated resource planning are also being used in some developed countries. With growing environmental concerns, especially the emission of air-pollutants from the power generation, demand-side management and clean and efficient generation technology options in the power sector development are getting increasing attention. In this paper, we compare the traditional planning approach with integrated resource planning. We also analyze the implications of CO2 reduction targets for the power sector development in the framework of supply side planning by including clean supply-side technologies as candidate plants. During the planning horizon, generation capacity of 365 MW and a cumulative electricity generation or 61,681 GWh would be avoided through the use of efficient demand-side technologies compared to the business-as-usual (BAU) case. When the clean supply-side options considered in the least-cost planning process, three units of 100-MW biomass-based plants are selected. The long run average cost of generation is found to increase by 0.32, 0.65 and 1.61% at the level of CO2 emission reduction target of 5, 10, and 20%, respectively.

Study on Integrated Resource Strategic Planning for Power Industry

2013 ◽  
Vol 732-733 ◽  
pp. 1401-1405
Author(s):  
Zhi Zhao ◽  
Jia Hai Yuan ◽  
Wen Jie Huang
Keyword(s):  
Strategic Planning ◽  
National Level ◽  
Resource Planning ◽  
The United States ◽  
Supply Side ◽  
Demand Side ◽  
Integrated Resource Planning ◽  
Pollution Emissions ◽  
Efficient Power

Integrated Resource Strategic Planning (IRSP) is an extension of Integrated Resource Planning (IRP) at the national level for power planning. It provides a new theoretical foundation for the implementation of demand-side management (DSM) in the deregulated conditions. In this paper, IRSP model for power planning is proposed. In the model, both supply-side and demand-side resources as efficient power plant (EPP) are considered in the optimization process. A case study for the power planning in the United States is presented in the paper. The results indicate that, comparing with traditional planning the IRSP model can not only achieve the minimum total costs, but also reduce the supply-side capacity installation and the related pollution emissions.

scholarly journals Synergies of combining demand- and supply-side measures to manage congested streets

2021 ◽  
Vol 151 ◽  
pp. 172-179
Author(s):  
Ibrahim Itani ◽  
Michael J. Cassidy ◽  
Carlos Daganzo
Keyword(s):  
Supply Side ◽  
Demand And Supply

scholarly journals Determinants of Exports of Pakistan: A Country-wise Disaggregated Analysis.

2011 ◽  
Vol 50 (4II) ◽  
pp. 715-732 ◽  
Author(s):  
Naseeb Zada ◽  
Malik Muhammad ◽  
Khan Bahadar
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Export Performance ◽  
Small Samples ◽  
Series Data ◽  
Supply Side ◽  
Empirical Bayesian ◽  
Demand And Supply ◽  
Price And Income Elasticities ◽  
Trade Partners

Given the importance of international trade and export performance in economic growth, this study attempts to examine the determinants of exports of Pakistan, using a time series data over the period 1975-2008. A simultaneous equation approach is followed and the demand and supply side equations are specified with appropriate variables. This is a country-wise disaggregated analysis of Pakistan versus its trade partners and the estimation strategy is based on two approaches. First we employ the Generalised Methods of Moments (GMM), which is followed by the Empirical Bayesian technique to get consistent estimates. The GMM technique is believed to be efficient for time series data provided the sample size is sufficiently large. In case of small samples, the estimates might not be precise and might appear with unbelievable sign and insignificant magnitudes. To avoid the sample bias and other problems, we employ the Empirical Bayesian technique which provides much precise estimates. The factual results obtained via the GMM technique are a little bit mixed, although most of the coefficients are found to be statistically significant and carry their expected signs. In order to compare and validate these results, the Empirical Bayesian technique is employed. This offers considerable improvement over the previous results and all the variables are found to be highly significant with correct sign across the countries concerned with the exception of a few cases. The price and income elasticities in both the demand and supply side equations carry their expected signs and significant magnitudes for the trading partners. The findings suggest that exports of Pakistan are much sensitive to changes in the world demand and world prices. This establishes the importance of demand side factors like world GDP, Real exchange rate, and world prices to determine the exports of Pakistan. On the supply side, we find relatively small price and income elasiticities. The results reveal that demand for exports is relatively higher for countries in NAFTA, European Union and Middle East regions. The study recommends particular concentration on the trade partners in these regions to improve the export performance of Pakistan. Keywords: Exports, GMM, Empirical Bayesian Method, Pakistan

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