OPTIMIZATION APPROACH FOR GREENHOUSE GAS TO GREEN ENERGY FOR A LOW CARBON REGION OF ISKANDAR MALAYSIA

2015 ◽  
Vol 75 (6) ◽  
Author(s):  
Saeed Isa Ahmed ◽  
Anwar Johari ◽  
Haslenda Hashim ◽  
Ramli Mat ◽  
Jeng Shiun Lim ◽  
...  
Keyword(s):  
Emission Reduction ◽  
Landfill Gas ◽  
Peninsular Malaysia ◽  
Green Energy ◽  
Mixed Integer ◽  
Optimization Approach ◽  
Low Carbon ◽  
Steam Turbines ◽  
Ghg Emission ◽  
Steam Generation

Landfill gas (LFG) like any other greenhouse gases (GHG) is a threat to the environment; hence its mitigation through effective utilization is necessary. The objective of this study is to estimate the amount of LFG captured using IPCC methodology and then develop optimization model for the LFG utilization for green energy production for Iskandar Malaysia. Of the three MSW Scenarios considered, the most appropriate was Scenario MIX, giving projection of MSW to landfill ranging from 600,000 tons in 2010 to 711,000 tons in 2035 for Iskandar Malaysia. From this, a mean annual LFG capture of 21,672 tons was estimated. The Mixed Integer Programing model considered Scenario ST as the more appropriate of the two LFG Scenarios, favoring combined heat and power generation with steam turbines over other options. The optimal result yielded a mean annual electricity and steam generation of 20,588 MWh (2.3 MW) and 150 million MJ respectively. The mean electricity generation represents 0.16% and 0.02% of the maximum electricity demand for Iskandar Malaysia and Peninsular Malaysia respectively. Additionally, GHG emission reduction of 12,000 tons CO2 equivalent was achieved. The findings revealed the potentials in LFG capture from the case study in terms of green energy and GHG emission reduction for sustainable development.

Costs and Benefits of the Transition to Low-carbon Economyin Russia: Perspectives up to 2050

2014 ◽  
pp. 70-91 ◽  
Author(s):  
I. Bashmakov ◽  
A. Myshak
Keyword(s):  
Emission Reduction ◽  
High Probability ◽  
Ghg Emissions ◽  
Mitigation Measures ◽  
Low Carbon ◽  
Costs And Benefits ◽  
Ghg Emission ◽  
Research Groups ◽  
Emissions Mitigation ◽  
Very High

This paper investigates costs and benefits associated with low-carbon economic development pathways realization to the mid XXI century. 30 scenarios covering practically all “visions of the future” were developed by several research groups based on scenario assumptions agreed upon in advance. It is shown that with a very high probability Russian energy-related GHG emissions will reach the peak before 2050, which will be at least 11% below the 1990 emission level. The height of the peak depends on portfolio of GHG emissions mitigation measures. Efforts to keep 2050 GHG emissions 25-30% below the 1990 level bring no GDP losses. GDP impact of deep GHG emission reduction - by 50% of the 1990 level - varies from plus 4% to minus 9%. Finally, very deep GHG emission reduction - by 80% - may bring GDP losses of over 10%.

scholarly journals Abatement cost for selectivity negative emissions technology in power plant Indonesia with aim/end-use model

2021 ◽  
Vol 894 (1) ◽  
pp. 012011
Author(s):  
Z D Nurfajrin ◽  
B Satiyawira
Keyword(s):  
Emission Reduction ◽  
Energy Demand ◽  
Reduction Potential ◽  
Abatement Cost ◽  
Energy Sector ◽  
Cost Curve ◽  
Baseline Scenario ◽  
Low Carbon ◽  
Ghg Emission ◽  
End Use

Abstract The Indonesian government has followed up the Paris Agreement with Law No. 16 of 2016 by setting an ambitious emission reduction target of 29% by 2030, and this figure could even increase to 41% if supported by international assistance. In line with this, mitigation efforts are carried out in the energy sector. Especially in the energy sector, it can have a significant impact when compared to other sectors due to an increase in energy demand, rapid economic growth, and an increase in living standards that will push the rate of emission growth in the energy sector up to 6. 7% per year. The bottom-up AIM/end-use energy model can select the technologies in the energy sector that are optimal in reducing emissions and costs as a long-term strategy in developing national low-carbon technology. This model can use the Marginal Abatement Cost (MAC) approach to evaluate the potential for GHG emission reductions by adding a certain amount of costs for each selected technology in the target year compared to the reference technology in the baseline scenario. In this study, three scenarios were used as mitigation actions, namely CM1, CM2, CM3. The Abatement Cost Curve tools with an assumed optimum tax value of 100 USD/ton CO2eq, in the highest GHG emission reduction potential, are in the CM3 scenario, which has the most significant reduction potential, and the mitigation costs are not much different from other scenarios. For example, PLTU – supercritical, which can reduce a significant GHG of 37.39 Mtoe CO2eq with an emission reduction cost of -23.66 $/Mtoe CO2eq.

scholarly journals Design of a multi-energy system under different hydrogen deployment scenarios

2021 ◽  
Vol 238 ◽  
pp. 02001
Author(s):  
Lorenzo Bartolucci ◽  
Stefano Cordiner ◽  
Vincenzo Mulone ◽  
Stefano Pasquale
Keyword(s):  
Proton Exchange Membrane ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Effective Means ◽  
Energy System ◽  
Proton Exchange ◽  
Mixed Integer ◽  
Optimization Approach ◽  
Pure Hydrogen ◽  
Low Carbon

Multi Energy Systems (MES) are effective means to increase Renewable Energy Sources (RES) penetration in the energy system and therefore to move toward a decentralized low-carbon system. Several energy vectors can be integrated together to exploit synergies in a MES framework, such as electricity, heat and hydrogen. The latter is one of the most promising energy carriers to promote widespread use of MES. Predictive management and well-defined sizing methodology are mandatory to achieve maximum performance out of MES. In this study a grid-connected MES consisting of a photovoltaic (PV) plant, a Battery Energy Storage System (BESS) and a Proton Exchange Membrane Fuel Cell (PEMFC) as a programmable Combined Cooling Heat and Power (CCHP) source, is modelled. Natural gas is considered as an alternative fuel to pure hydrogen. Mixed Integer Linear Programming and Genetic Algorithm are used respectively to solve operation and sizing problems. A single-objective optimization approach, including emission factors as optimization constraints, is carried out to find the optimal configuration of the MES. Several future scenarios are studied, considering different percentages of hydrogen in the gas mixture and comparing the techno-economic performance of the system with respect to a pure hydrogen fueling scenario. Results showed that the environmental objective within the design optimization, promote the use of hydrogen, especially in scenarios with high share of green hydrogen.

scholarly journals Greenhouse Gas Emissions Analysis Working toward Zero-Waste and Its Indication to Low Carbon City Development

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6644
Author(s):  
Ruixi Zhao ◽  
Lu Sun ◽  
Xiaolong Zou ◽  
Yi Dou
Keyword(s):  
Emission Reduction ◽  
Heat Supply ◽  
Waste Treatment ◽  
Ghg Emissions ◽  
Low Carbon ◽  
Ghg Emission ◽  
City Development ◽  
Zero Waste ◽  
Low Carbon City ◽  
Waste Sector

Low carbon city development and greenhouse gas (GHG) emission mitigation in urban communities are urgent. There is great potential to improve the GHG inventory at the community level. Meanwhile, building zero-waste cities and improving waste treatment efficiency have been significant environmental issues due to the rapid increase of waste generation. This research aims to develop a community-scale GHG emission inventory of the waste sector and improve its accuracy and consistency through applying the bottom-up approach. This study covers both direct and indirect emissions categories of the waste sector with the goal of building a zero-waste community. Honjo Waseda community, located in Japan, was used as a case study community. Energy consumption waste treatment sectors were evaluated and calculated through first-hand field data. GHG emission estimation of the waste sector included waste incineration, residential wastewater, and waste transport. The highest emissions originated from Beisiagate supermarket due to the large waste amount produced, and the CO2-biomass carbon emissions reached approximately 50% of the total emissions. Furthermore, a quantitative analysis of the implementation of new technologies was also conducted. This study created proposals for GHG emission reduction toward a zero-waste community through the comparison of three cases. Case 1 was business as usual; Case 2 proposed a combination of incineration bio-gasification (MBT); Case 3 introduced a combination of solid recovered fuel (SRF) and a bio-gasification system. SRF contributed the most to emission reduction, and Case 3 exhibited the highest energy recovery. Furthermore, comparing the GHG emissions produced by the use of SRF for power generation and heat supply revealed that using SRF as a heat supply reduced more GHG emissions than using SRF for power generation.

scholarly journals ASSESSMENT OF ENERGY TECHNOLOGIES IN ELECTRICITY AND TRANSPORT SECTORS BASED ON CARBON INTENSITY AND COSTS

2013 ◽  
Vol 19 (4) ◽  
pp. 606-620 ◽  
Author(s):  
Dalia Štreimikienė
Keyword(s):  
Emission Reduction ◽  
Electricity Generation ◽  
Ghg Emissions ◽  
Road Transport ◽  
Transport Sector ◽  
Carbon Intensity ◽  
Low Carbon ◽  
Ghg Emission ◽  
Eu Policy ◽  
Energy Technologies

The aim of the paper is to address the EU policy for achieving low carbon economy by assessing energy technologies in electricity and road transport sector based on costs and impact on climate change and to indicate the most competitive electricity and transport technologies taking into account EU policy targets in GHG emission reduction, utilization of renewable and energy efficiency improvements. The main tasks of the paper are: to develop the multi-criteria framework for comparative assessment of energy technologies by applying MCDM methods for the electricity generation and transport technologies assessment. The interval TOPSIS method is employed in order to tackle the uncertain criteria. The assessment framework allows the comparison of electricity generation technologies and road transport technologies in terms of their GHG emission reduction and economic impacts and facilitates decision making process in energy sector seeking to implement EU energy policies. The main indicators selected for technologies assessment are: private costs and life cycle GHG emissions. The ranking of energy technologies based on private costs and GHG emissions allowed prioritizing these technologies taking into account the lowest GHG emission reduction costs.

scholarly journals An Optimization Approach for the Coordinated Low-Carbon Design of Product Family and Remanufactured Products

2019 ◽  
Vol 11 (2) ◽  
pp. 460 ◽  
Author(s):  
Qi Wang ◽  
Dunbing Tang ◽  
Shipei Li ◽  
Jun Yang ◽  
Miguel Salido ◽  
...  
Keyword(s):  
Product Family ◽  
Optimization Approach ◽  
Low Carbon ◽  
Product Family Design ◽  
Ghg Emission ◽  
Environmental Benefit ◽  
Carbon Product ◽  
Parameters Selection ◽  
Total Profit ◽  
The One

With increasingly stringent environmental regulations on emission standards, enterprises and investigators are looking for effective ways to decrease GHG emission from products. As an important method for reducing GHG emission of products, low-carbon product family design has attracted more and more attention. Existing research, related to low-carbon product family design, did not take into account remanufactured products. Nowadays, it is popular to launch remanufactured products for environmental benefit and meeting customer needs. On the one hand, the design of remanufactured products is influenced by product family design. On the other hand, the launch of remanufactured products may cannibalize the sale of new products. Thus, the design of remanufactured products should be considered together with the product family design for obtaining the maximum profit and reducing the GHG emission as soon as possible. The purpose of this paper is to present an optimization model to concurrently determine product family design, remanufactured products planning and remanufacturing parameters selection with consideration of the customer preference, the total profit of a company and the total GHG emission from production. A genetic algorithm is applied to solve the optimization problem. The proposed method can help decision-makers to simultaneously determine the design of a product family and remanufactured products with a better trade-off between profit and environmental impact. Finally, a case study is performed to demonstrate the effectiveness of the presented approach.

scholarly journals Greenhouse Gas Emission Intensity Assessment for Power Plants in Peninsular Malaysia

2021 ◽  
Vol 88 (2) ◽  
pp. 14-26
Author(s):  
Sazalina Zakaria ◽  
Radin Diana R. Ahmad ◽  
Ahmad Rosly Abbas ◽  
Mohd Faizal Mohideen Batcha
Keyword(s):  
Greenhouse Gas ◽  
Emission Intensity ◽  
Emission Reduction ◽  
Power Plants ◽  
Greenhouse Gas Emission ◽  
Ghg Emissions ◽  
Peninsular Malaysia ◽  
Ghg Emission ◽  
Reduction Strategies ◽  
Emission Reduction Strategies

The power sector has been playing a vital role in the industrialization, societal and economic development of a nation. In Malaysia, the total power generation for 2014 is 147,480GWh and eventually accounts for 54% of total carbon emissions for that year alone. A study was conducted to quantify the greenhouse gas emission from stationary combustion from several power plants in Peninsular Malaysia, followed by proposal for the emission reduction strategies. For the GHG emissions assessment, the Greenhouse Gas Protocol: A Corporate Accounting and Reporting Standard and Intergovernmental Panel on Climate Change (IPCC) methodologies was adopted. Based on this study, the highest GHG emission intensity were from coal power plants which ranged from 0.67 – 0.85 tCO2/ MWh. The GHG emission intensity for natural gas power plants ranged from 0.38 – 0.78 tCO2/ MWh. The overall GHG emission intensity for all power plants studied was estimated to be 0.54 tCO2/ MWh. The large variations in CO2 emissions per MWh of electricity generated in fossil fuel power plants were due to differences in generation efficiency, fuel selection, technology, and plant age. In supporting Malaysia’s conditional commitment of 45% GHG emissions intensity reduction target against the country’s GDP, the emission reduction strategies up to 2025 were assessed using three key scenarios namely Business-As-Usual (BAU), Planning (PLAN) and Ambitious (AMB). Based on the analysis, the projection indicates that the emissions intensity for the power sector is about 0.79 tCO2/ MWh, 0.49 tCO2/ MWh, and 0.44 tCO2/ MWh under the BAU, PLN AMB scenarios respectively. Finally, GHG emission reduction potentials were also outlined in this paper.

Russian low carbon development strategy

2020 ◽  
pp. 51-74
Author(s):  
I. A. Bashmakov
Keyword(s):  
Economic Growth ◽  
Development Strategy ◽  
Low Carbon ◽  
Security Risk ◽  
Ghg Emission ◽  
Emission Mitigation ◽  
Russian Economy ◽  
The Russian Federation ◽  
Scenario Projections

The article presents the key results of scenario projections that underpinned the Strategy for long-term low carbon economic development of the Russian Federation to 2050, including analysis of potential Russia’s GHG emission mitigation commitments to 2050 and assessment of relevant costs, benefits, and implications for Russia’s GDP. Low carbon transformation of the Russian economy is presented as a potential driver for economic growth that offers trillions-of-dollars-worth market niches for low carbon products by mid-21st century. Transition to low carbon economic growth is irreversible. Lagging behind in this technological race entails a security risk and technological backwardness hazards.

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