Framework for Optimizing the Solar Incentive from the Perspectives of Residents and Policy Makers

Taehoon Hong, Minhyun Lee, Hyuna Kang

Research output: Contribution to journalConference article

Abstract

In spite of the remarkable growth and price reductions of the photovoltaic (PV) market during the past decade, the PV market still needs financial supports and incentives in order to achieve its national target from the long-term perspective. However, due to the financial burden on the government budget, most of the countries are reducing their financial supports and incentives as time goes by. In order to sustain the growth of the PV market, it is crucial to determine the optimal solar incentive design by minimizing the government budget while maximizing the resident's benefit. Towards this end, this study aims to propose a framework for optimizing the solar incentive from the perspective of residents and policy makers. The proposed framework consists of five steps: (i) establishment of database; (ii) generation of incentive scenarios; (iii) calculation of the electricity generation; (iii) Life Cycle Cost (LCC) analysis; and (v) Multi-objective optimization using Pareto optimal solutions. The proposed framework could help both residents and policy makers in several ways by developing a multi-objective optimization model in the future study: (i) minimize the government budget; (ii) maximize the resident's benefit; (iii) determine an optimal solar incentive design which can satisfy both residents and policy makers. Application of the proposed framework could be extended to any other country or sector in the global environment.

Original languageEnglish
Pages (from-to)189-194
Number of pages6
JournalEnergy Procedia
Volume103
DOIs
Publication statusPublished - 2016 Dec 1
EventApplied Energy Symposium and Submit: Renewable Energy Integration with Mini/Microgrid, REM 2016 - Maldives, Maldives
Duration: 2016 Apr 192016 Apr 21

Fingerprint

Multiobjective optimization
Life cycle
Electricity
Costs

All Science Journal Classification (ASJC) codes

  • Energy(all)

Cite this

@article{f07911cec1f540f5b801b337b9941518,
title = "Framework for Optimizing the Solar Incentive from the Perspectives of Residents and Policy Makers",
abstract = "In spite of the remarkable growth and price reductions of the photovoltaic (PV) market during the past decade, the PV market still needs financial supports and incentives in order to achieve its national target from the long-term perspective. However, due to the financial burden on the government budget, most of the countries are reducing their financial supports and incentives as time goes by. In order to sustain the growth of the PV market, it is crucial to determine the optimal solar incentive design by minimizing the government budget while maximizing the resident's benefit. Towards this end, this study aims to propose a framework for optimizing the solar incentive from the perspective of residents and policy makers. The proposed framework consists of five steps: (i) establishment of database; (ii) generation of incentive scenarios; (iii) calculation of the electricity generation; (iii) Life Cycle Cost (LCC) analysis; and (v) Multi-objective optimization using Pareto optimal solutions. The proposed framework could help both residents and policy makers in several ways by developing a multi-objective optimization model in the future study: (i) minimize the government budget; (ii) maximize the resident's benefit; (iii) determine an optimal solar incentive design which can satisfy both residents and policy makers. Application of the proposed framework could be extended to any other country or sector in the global environment.",
author = "Taehoon Hong and Minhyun Lee and Hyuna Kang",
year = "2016",
month = "12",
day = "1",
doi = "10.1016/j.egypro.2016.11.271",
language = "English",
volume = "103",
pages = "189--194",
journal = "Energy Procedia",
issn = "1876-6102",
publisher = "Elsevier BV",

}

Framework for Optimizing the Solar Incentive from the Perspectives of Residents and Policy Makers. / Hong, Taehoon; Lee, Minhyun; Kang, Hyuna.

In: Energy Procedia, Vol. 103, 01.12.2016, p. 189-194.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Framework for Optimizing the Solar Incentive from the Perspectives of Residents and Policy Makers

AU - Hong, Taehoon

AU - Lee, Minhyun

AU - Kang, Hyuna

PY - 2016/12/1

Y1 - 2016/12/1

N2 - In spite of the remarkable growth and price reductions of the photovoltaic (PV) market during the past decade, the PV market still needs financial supports and incentives in order to achieve its national target from the long-term perspective. However, due to the financial burden on the government budget, most of the countries are reducing their financial supports and incentives as time goes by. In order to sustain the growth of the PV market, it is crucial to determine the optimal solar incentive design by minimizing the government budget while maximizing the resident's benefit. Towards this end, this study aims to propose a framework for optimizing the solar incentive from the perspective of residents and policy makers. The proposed framework consists of five steps: (i) establishment of database; (ii) generation of incentive scenarios; (iii) calculation of the electricity generation; (iii) Life Cycle Cost (LCC) analysis; and (v) Multi-objective optimization using Pareto optimal solutions. The proposed framework could help both residents and policy makers in several ways by developing a multi-objective optimization model in the future study: (i) minimize the government budget; (ii) maximize the resident's benefit; (iii) determine an optimal solar incentive design which can satisfy both residents and policy makers. Application of the proposed framework could be extended to any other country or sector in the global environment.

AB - In spite of the remarkable growth and price reductions of the photovoltaic (PV) market during the past decade, the PV market still needs financial supports and incentives in order to achieve its national target from the long-term perspective. However, due to the financial burden on the government budget, most of the countries are reducing their financial supports and incentives as time goes by. In order to sustain the growth of the PV market, it is crucial to determine the optimal solar incentive design by minimizing the government budget while maximizing the resident's benefit. Towards this end, this study aims to propose a framework for optimizing the solar incentive from the perspective of residents and policy makers. The proposed framework consists of five steps: (i) establishment of database; (ii) generation of incentive scenarios; (iii) calculation of the electricity generation; (iii) Life Cycle Cost (LCC) analysis; and (v) Multi-objective optimization using Pareto optimal solutions. The proposed framework could help both residents and policy makers in several ways by developing a multi-objective optimization model in the future study: (i) minimize the government budget; (ii) maximize the resident's benefit; (iii) determine an optimal solar incentive design which can satisfy both residents and policy makers. Application of the proposed framework could be extended to any other country or sector in the global environment.

UR - http://www.scopus.com/inward/record.url?scp=85010894613&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85010894613&partnerID=8YFLogxK

U2 - 10.1016/j.egypro.2016.11.271

DO - 10.1016/j.egypro.2016.11.271

M3 - Conference article

VL - 103

SP - 189

EP - 194

JO - Energy Procedia

JF - Energy Procedia

SN - 1876-6102

ER -