TY - JOUR
T1 - Forecasting impact of demand side management on malaysia’s power generation using system dynamic approach
AU - Tufail, Muhammad Mutasim Billah
AU - Nawi, Mohd Nasrun Mohd
AU - Ali, Akhtiar
AU - Baharum, Faizal
AU - Tahir, Mohamad Zamhari
AU - Salameh, Anas Abdelsatar Mohammad
N1 - Publisher Copyright:
© 2021, Econjournals. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Rapid economic growth, increasing population, industrialization and high living standards have increased the electricity demand more than ever before. Efficient energy planning and management is always considered as the greatest challenge in all over the world. Among the other factors availability of electricity is the main bottleneck to the economic growth and industrial revolution. Considering this fact, it becomes necessary for academicians, government agencies and electricity companies to construct more efficient methodologies and procedures to predict long-term electricity demand. The objective of this article represents the initiative towards understanding and analyzing the importance of demand-side management (DSM) in forecasting electricity demand by using a system dynamics approach. This study examines the long term impact of demand-side management variables including HER (Home energy report), MEPS (Minimum Energy Performance Standards) and NEEAP (National Energy Efficiency Action Plan). The future installation capacity of Malaysia’s power generation is evaluated considering the factors of population, per capita electricity consumption, efficiency, capacity margin and DSM. The forecasting horizon of the simulation model is 15 years from 2016 to 2030.
AB - Rapid economic growth, increasing population, industrialization and high living standards have increased the electricity demand more than ever before. Efficient energy planning and management is always considered as the greatest challenge in all over the world. Among the other factors availability of electricity is the main bottleneck to the economic growth and industrial revolution. Considering this fact, it becomes necessary for academicians, government agencies and electricity companies to construct more efficient methodologies and procedures to predict long-term electricity demand. The objective of this article represents the initiative towards understanding and analyzing the importance of demand-side management (DSM) in forecasting electricity demand by using a system dynamics approach. This study examines the long term impact of demand-side management variables including HER (Home energy report), MEPS (Minimum Energy Performance Standards) and NEEAP (National Energy Efficiency Action Plan). The future installation capacity of Malaysia’s power generation is evaluated considering the factors of population, per capita electricity consumption, efficiency, capacity margin and DSM. The forecasting horizon of the simulation model is 15 years from 2016 to 2030.
KW - Energy Demand Side Management
KW - Energy Efficiency
KW - Energy Forecasting
KW - System Dynamics
UR - http://www.scopus.com/inward/record.url?scp=85118986805&partnerID=8YFLogxK
U2 - 10.32479/ijeep.9716
DO - 10.32479/ijeep.9716
M3 - Article
AN - SCOPUS:85118986805
SN - 2146-4553
VL - 11
SP - 412
EP - 418
JO - International Journal of Energy Economics and Policy
JF - International Journal of Energy Economics and Policy
IS - 4
ER -