Energy planning and development in Malaysian Borneo: Assessing the benefits of distributed technologies versus large scale energy mega-projects

In this work, an innovative sustainable spatial energy planning framework is developed on national scale for identifying and prioritizing appropriate, technically and economically feasible, environmentally sustainable as well as socially acceptable sites for the siting of large-scale onshore Wind Farms (WFs) and Photovoltaic Farms (PVFs) in Israel. The proposed holistic framework consists of distinctive steps allocated in two successive modules (the Planning and the Field Investigation module), and it covers all relevant dimensions of a sustainable siting analysis (economic, social, and environmental). It advances a collaborative and participatory planning approach by combining spatial planning tools (Geographic Information Systems (GIS)) and multi-criteria decision-making methods (e.g., Analytical Hierarchy Process (AHP)) with versatile participatory planning techniques in order to consider the opinion of three different participatory groups (public, experts, and renewable energy planners) within the site-selection processes. Moreover, it facilitates verification of GIS results by conducting appropriate field observations. Sites of high suitability, accepted by all participatory groups and field verified, form the final outcome of the proposed framework. The results illustrate the existence of high suitable sites for large-scale WFs’ and PVFs’ siting and, thus, the potential deployment of such projects towards the fulfillment of the Israeli energy targets in the near future.

Download Full-text

Comparison of COP estimation methods for large-scale heat pumps used in energy planning

Energy ◽

10.1016/j.energy.2020.117994 ◽

2020 ◽

Vol 205 ◽

pp. 117994

Author(s):

Henrik Pieper ◽

Torben Ommen ◽

Jonas Kjær Jensen ◽

Brian Elmegaard ◽

Wiebke Brix Markussen

Keyword(s):

Large Scale ◽

Heat Pumps ◽

Estimation Methods ◽

Energy Planning

Download Full-text

A hierarchical multi-resolution agent-based modeling and simulation framework for household electricity demand profile

SIMULATION ◽

10.1177/0037549720923401 ◽

2020 ◽

Vol 96 (8) ◽

pp. 655-678 ◽

Cited By ~ 2

Author(s):

Imran Mahmood ◽

Quair-tul-ain ◽

Hasan Arshad Nasir ◽

Fahad Javed ◽

José A Aguado

Keyword(s):

Modeling And Simulation ◽

Energy Demand ◽

Large Scale ◽

Electricity Consumption ◽

Agent Based Modeling ◽

Energy Planning ◽

Modeling Framework ◽

Agent Based ◽

The Individual ◽

Domestic Electricity

Analyzing demand behavior of end consumers is pivotal in long term energy planning. Various models exist for simulating household load profiles to cater different purposes. A macroscopic viewpoint necessitates modeling of a large-scale population at an aggregate level, whereas a microscopic perspective requires measuring loads at a granular level, pertinent to the individual devices of a household. Both aspects have lucrative benefits, instigating the need to combine them into a modeling framework which allows model scalability and flexibility, and to analyze domestic electricity consumption at different resolutions. In this applied research, we propose a multi-resolution agent-based modeling and simulation (ABMS) framework for estimating domestic electricity consumption. Our proposed framework simulates per minute electricity consumption by combining large neighborhoods, the behavior of household individuals, their interactions with the electrical appliances, their sociological habits and the effects of exogenous conditions such as weather and seasons. In comparison with the existing energy models, our framework uniquely provides a hierarchical, multi-scale, multi-resolution implementation using a multi-layer architecture. This allows the modelers flexibility in order to model large-scale neighborhoods at one end, without any loss of expressiveness in modeling microscopic details of individuals’ activities at house level, and energy consumption at the appliance level, at the other end. The validity of our framework is demonstrated using a case study of 264 houses. A validated ABMS framework will support: (a) Effective energy planning; (b) Estimation of the future energy demand; (c) and the analysis of the complex dynamic behavior of the consumers.

Download Full-text

Cultivation and human Impact at 6000 cal yr B.P. in Tropical Lowland Forest at Niah, Sarawak, Malaysian Borneo

Quaternary Research ◽

10.1016/j.yqres.2005.08.010 ◽

2005 ◽

Vol 64 (3) ◽

pp. 460-468 ◽

Cited By ~ 37

Author(s):

C.O. Hunt ◽

G. Rushworth

Keyword(s):

Soil Erosion ◽

Human Impact ◽

Human Activity ◽

Large Scale ◽

Sedimentary Record ◽

Lowland Forest ◽

Tropical Lowland ◽

Tropical Lowland Forest ◽

Anthropogenic Soil ◽

Malaysian Borneo

AbstractThis paper describes palynological evidence for what appears to be comparatively large-scale human impact in the catchment of the Sungai Niah in the wet tropical lowland swamp forests of Sarawak, Malaysian Borneo close to the Great Cave of Niah. Pollen associated with cleared landscapes and rice cultivation is evident in the sedimentary record from before 6000 cal yr B.P. Human activity seems to have been associated with changes in sedimentary regime, with peat-dominated environments being replaced diachronously by clay-dominated deposition. This may reflect anthropogenic soil erosion in the catchment of the Sungai Niah.

Download Full-text

Strategic energy planning for large-scale energy systems: A modelling framework to aid decision-making

Energy ◽

10.1016/j.energy.2015.06.008 ◽

2015 ◽

Vol 90 ◽

pp. 173-186 ◽

Cited By ~ 27

Author(s):

Victor Codina Gironès ◽

Stefano Moret ◽

François Maréchal ◽

Daniel Favrat

Keyword(s):

Decision Making ◽

Large Scale ◽

Energy Systems ◽

Energy Planning ◽

Modelling Framework ◽

Aid Decision

Download Full-text

The conception and countermeasures of "green hydrogen" industrial chain in Chengdu area

E3S Web of Conferences ◽

10.1051/e3sconf/202123602018 ◽

2021 ◽

Vol 236 ◽

pp. 02018

Author(s):

Li-min zhang ◽

Rong-hu zhang

Keyword(s):

Power Generation ◽

Hydrogen Production ◽

The Netherlands ◽

Large Scale ◽

Energy Industry ◽

Energy Planning ◽

Hydrogen Energy ◽

Photovoltaic Power ◽

Industrial Chain ◽

The World

With the application of hydrogen energy in the world, photovoltaic hydrogen producton industry has been ignited rapidly. Many Chinese governments and companies are producing hydrogen, often called "green hydrogen", from renewable sources. Japan, Germany. The Netherlands, Australia, Canada and other countries have carried out research or investment in large-scale photovoltaic hydrogen production projects. This article takes the hydrogen energy planning of Chengdu, Sichuan Province as the lead, and combines the actual conditions of the Ganzi region to discuss the feasibility of using photovoltaic power generation to produce hydrogen to support the development of the hydrogen energy industry in Chengdu under the conditions of abundant photovoltaic resources and no transmission.

Download Full-text

Pemodelan Dampak COVID-19 Terhadap Kebutuhan Energi di Indonesia

Jurnal Sistem Cerdas ◽

10.37396/jsc.v3i2.65 ◽

2020 ◽

Vol 3 (2) ◽

pp. 65-73

Author(s):

Agus Sugiyono ◽

Joko Santosa ◽

Adiarso ◽

Edi Hilmawan

Keyword(s):

Energy Demand ◽

Large Scale ◽

Energy Use ◽

Management Plan ◽

Energy Planning ◽

Accounting System ◽

Activity Data ◽

Social Restriction ◽

The Government ◽

The Impact

In order to tackle the COVID-19 pandemic, the government issued a large-scale social restriction policy (PSBB). The policy in the form of restrictions on social activities will limit economic activity which ultimately has an impact on decreasing energy demand. This PSBB policy is challenge in implementing a national energy management plan, and might causes some of the energy planning targets not to be achieved. To analyze the effect of the COVID-19 pandemic on national energy demand, an energy model was created using LEAP software. LEAP is a model for comprehensive energy planning from energy resources to energy use based on an accounting system. For the purposes of analysis, LEAP requires quite detailed data, in the form of socioeconomic data, energy data, and community activity data due to social restrictions. In this paper, the results of energy modeling simulation are discussed in terms of energy demand based on the scenario of no pandemic or bussiness as usual (BAU) and three pandemic scenarios, namely: optimistic (OPT), moderate (MOD), and pessimistic (PES) scenarios. Energy demand in 2020 is predicted to decrease by 10.7% (OPT scenario), 15.3% (MOD scenario), and 20.0% (PES scenario) compared to the BAU scenario. The model can still be further developed to analyze the impact, both on the overall of demand side and energy supply side and also environmental aspects.

Download Full-text

Application of Community Energy Planning in Shanghai 2010 Expo Park

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.403-408.2636 ◽

2011 ◽

Vol 403-408 ◽

pp. 2636-2639

Author(s):

Hao Liang ◽

Wei Ding Long

Keyword(s):

River Water ◽

Heat Pump ◽

Large Scale ◽

Cooling System ◽

Water Environment ◽

Water Source ◽

Energy Performance ◽

Energy Planning ◽

Emission Mitigation ◽

District Energy

This paper gives the detail introduction of community energy planning method based on integrated resouces planning and applied it in Shanghai Expo Park, finally got the optimized energy option based on a comprehensive system of river water source heat pump. The main works included thermal load estimation, optimum pipework radius of district cooling system, the impacts of large-scale river water source heat pump (RWSHP) on the River water environment and the comparison of the energy performance of RWSHP with other district energy systems. Energy saving and carbon emission mitigation benefits of the program were also calculated.

Download Full-text

Impacts of Climate Change on Hydroelectric Power Generation – A Case Study Focused in the Paranapanema Basin, Brazil

Journal of Sustainable Development ◽

10.5539/jsd.v11n1p140 ◽

2018 ◽

Vol 11 (1) ◽

pp. 140 ◽

Cited By ~ 2

Author(s):

Rafael de Oliveira Tiezzi ◽

Nathalia Duarte Braz Vieira ◽

Andre Felipe Simoes ◽

Homero Fonseca Filho ◽

Ednílson Viana ◽

...

Keyword(s):

Climate Change ◽

Water Flow ◽

Large Scale ◽

River Flow ◽

Energy Planning ◽

Future Scenarios ◽

Hydroelectric Power ◽

Soil Moisture Accounting ◽

Fundamental Factor ◽

Rainfall Anomalies

Climate change is taking special attention among the economic agents, especially due to the uncertainties and risks associated with it. In countries with a significant share of renewables in their energy matrix, this phenomenon implies on challenges for the energy planning in future scenarios. In this context, this study establishes a correlation between energy security and climate change by understanding the ability to generate hydroelectric power in large-scale hydroelectric (HEP) and small hydroelectric plants (SHP), in the Alto Paranapanema Basin (São Paulo, Brazil), a region with rainfall anomalies and water flow changes due to climate change. This region was chosen based on its future scenarios on climate change, especially those of rainfall anomalies and change in water flow, using the Soil Moisture Accounting Procedure (SMAP) mathematical model. The water flow was simulated in the HidroLab model, resulting in the generation of hydroelectric power. The results indicated a loss of generation capacity, that can be attributed to negative anomalies of rainfall and its direct influence on river flow, which is a fundamental factor in hydropower generation. Thus, this study draws attention to the importance of considering climate vulnerability in energy planning now and in the future.

Download Full-text

Points of Consideration on Climate Adaptation of Solar Power Plants in Thailand: How Climate Change Affects Site Selection, Construction and Operation

Energies ◽

10.3390/en15010171 ◽

2021 ◽

Vol 15 (1) ◽

pp. 171

Author(s):

Kampanart Silva ◽

Pidpong Janta ◽

Nuwong Chollacoop

Keyword(s):

Climate Change ◽

Power Plants ◽

Large Scale ◽

Solar Power ◽

Climate Adaptation ◽

Policy Support ◽

Energy Planning ◽

Term Energy ◽

Solar Power Plants

Solar energy is planned to undergo large-scale deployment along with Thailand’s transformation to a carbon neutral society in 2050. In the course of energy transformation planning, the issue of energy infrastructure adaptation to climate change has often been left out. This study aims to identify climate-related risks and countermeasures taken in solar power plants in Thailand using thematic analysis with self-administered observations and structured interviews in order to propose points of consideration during long-term energy planning to ensure climate adaptation capacity. The analysis pointed out that floods and storms were perceived as major climate events affecting solar power plants in Thailand, followed by lightning and fires. Several countermeasures were taken, including hard countermeasures that require extensive investment. Following policy recommendations were derived from the climate-proofing investment scenario study. Policy support in terms of enabling regulations or financial incentives is needed for implementation of climate-proofing countermeasures. Public and private sectors need to secure sufficient budget for fast recovery after severe climate incidents. Measures must be taken to facilitate selection of climate-resilient sites by improving conditions of power purchase agreement or assisting winning bidders in enhancing climate adaptability of their sites. These issues should be considered during Thailand’s long-term energy planning.

Download Full-text