A dynamic optimal management on economic energy efficiency in developing countries

Dong Wang, Kan Tao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper is based on the dynamic optimization methodology to investigate the economic energy efficiency issues in developing countries. The paper introduces some definitions about energy efficiency both in economics and physics, and establishes a quantitative way for measuring the economic energy efficiency. The linkage among economic energy efficiency, energy consumption and other macroeconomic variables is demonstrated primarily. Using the methodology of dynamic optimization, a maximum problem of economic energy efficiency over time, which is subjected to the extended Solow growth model and instantaneous investment rate, is modeled. In this model, the energy consumption is set as a control variable and the capital is regarded as a state variable. The analytic solutions can be derived and the diagrammatic analysis provides saddle-point equilibrium. A numerical simulation is also presented; meanwhile, the optimal paths of investment and energy consumption can be drawn. The dynamic optimization encourages governments in developing countries to pursue higher economic energy efficiency by controlling the energy consumption and regulating the investment state as it can conserve energy without influencing the achievement of steady state in terms of Solow model. If that, a sustainable development will be achieved.

Original languageEnglish
Title of host publicationProceedings of the Seventh International Conference on Management Science and Engineering Management
Subtitle of host publicationFocused on Electrical and Information Technology
Pages1229-1240
Number of pages12
EditionVOL. 2
DOIs
Publication statusPublished - 2014
Event7th International Conference on Management Science and Engineering Management, ICMSEM 2013 - Philadelphia, PA, United States
Duration: 7 Nov 20139 Nov 2013

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 2
Volume242 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference7th International Conference on Management Science and Engineering Management, ICMSEM 2013
Country/TerritoryUnited States
CityPhiladelphia, PA
Period7/11/139/11/13

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