scholarly journals Ship Energy Efficiency Management Plan Development Using Machine Learning: Case Study of CO2 Emissions of Ship Activities at Container Port

2021 ◽  
Vol 12 (5) ◽  
pp. 1048
Author(s):  
Ivan Dewanda Dawangi ◽  
Muhammad Arif Budiyanto
Keyword(s):  
Machine Learning ◽  
Energy Efficiency ◽  
Co2 Emissions ◽  
Management Plan ◽  
Container Port

scholarly journals How to Prioritize Energy Efficiency Intervention in Municipal Public Buildings to Decrease CO2 Emissions? A Case Study from Italy

2020 ◽  
Vol 17 (12) ◽  
pp. 4434
Author(s):  
Filomena Pietrapertosa ◽  
Marco Tancredi ◽  
Michele Giordano ◽  
Carmelina Cosmi ◽  
Monica Salvia
Keyword(s):  
Energy Efficiency ◽  
Co2 Emissions ◽  
Energy Savings ◽  
Action Plan ◽  
The European Union ◽  
Public Buildings ◽  
Building Stock ◽  
End Use ◽  
Climate Crisis

The European Union 2050 climate neutrality goal and the climate crisis require coordinated efforts to reduce energy consumption in all sectors, and mainly in buildings greatly affected by the increasing temperature, with relevant CO2 emissions due to inefficient end-use technologies. Moreover, the old building stock of most countries requires suited policies to support renovation programs aimed at improving energy performances and optimize energy uses. A toolbox was developed in the framework of the PrioritEE project to provide policy makers and technicians with a wide set of tools to support energy efficiency in Municipal Public Buildings. The toolbox, available for free, was tested in the partners’ communities, proving its effectiveness. The paper illustrates its application to the Potenza Municipality case study in which the online calculator DSTool (the core instrument of the toolbox) was utilized to select and prioritize the energy efficiency interventions in public buildings implementable in a three-year action plan in terms of costs, energy savings, CO2 emissions’ reduction and return on investments. The results highlight that improvements in the building envelopes (walls and roofs), heating and lighting and photovoltaic systems allow reducing CO2 emission approximately 644 t/year and saving about 2050 MWh/year with a total three-year investment of 1,728,823 EUR.

An assessment of CO2 emissions avoided by energy-efficiency programs: A general methodology and a case study in Brazil

Energy ◽  
2018 ◽  
Vol 142 ◽  
pp. 702-715 ◽  
Author(s):  
Nathália Duarte Braz Vieira ◽  
Luiz Augusto Horta Nogueira ◽  
Jamil Haddad
Keyword(s):  
Energy Efficiency ◽  
Co2 Emissions ◽  
General Methodology

scholarly journals A Decision Support Approach to Provide Sustainable Solutions to the Consumer, by Using Electrical Appliances

2019 ◽  
Vol 11 (4) ◽  
pp. 1143 ◽  
Author(s):  
João Matias ◽  
Ricardo Santos ◽  
Antonio Abreu
Keyword(s):  
Energy Efficiency ◽  
Decision Support ◽  
Evolutionary Algorithms ◽  
Co2 Emissions ◽  
Water Consumption ◽  
Optimization Technique ◽  
Relative Importance ◽  
Sustainable Solutions ◽  
Knowing That

The diversity of energy efficiency appliances existent on the market, with all its different issues, contributes to the existence of several tradeoffs (e.g., energy and water consumption vs. initial investment), which make the consumer’s choices in the market difficult. This becomes even more relevant, by knowing that nowadays a consumer tries to get a solution from the market, with a good compromise between the economic, social and environmental dimensions, and according to its priorities and specific needs, which can be different from other consumers. By adopting a multicriteria approach, combined with an optimization technique, based on evolutionary algorithms (EA), it will be possible to provide a set of sustainable solutions from the market to the consumer, that respects the compromise referred before. In this work, it will be presented an approach to support a decision-agent (DA) (consumer), by performing a set of sustainable choices based on electrical appliances, from the market and suitable to its needs. The method will be applied to a case study, to demonstrate its application. Regarding the obtained solutions, several savings are achieved (electrical and water consumption, CO2 emissions) by taking into account the consumer’s relative importance, regarding each dimension considered.

Strategy for Carbon Dioxide Reduction – A Case Study of China

2013 ◽  
Vol 291-294 ◽  
pp. 1380-1384
Author(s):  
Rui Min Mu ◽  
Li Wei Zhan ◽  
Jing Jing Jia ◽  
Xue Liang Yuan
Keyword(s):  
Energy Efficiency ◽  
Co2 Emissions ◽  
Industrial Structure ◽  
Emissions Reduction ◽  
Energy Structure ◽  
Marginal Effect ◽  
Renewable Energy Resources ◽  
Policy Makers ◽  
Industrial Sectors

In order to increase the ability of tackling with climate change, China has put many efforts on restructuring industrial sectors, improving energy efficiency and developing new and renewable energy resources. This study provides a critical assessment of various factors on reducing CO2 emissions with the method of scenario analysis. The results show industrial restructuring has marginal effect on CO2 emissions compared with improving energy efficiency and adjusting energy structure. To achieve the projected target on CO2 emissions reduction, a combination of optimized industrial structure and energy structure as well as improved energy efficiency is the proper scenario for China. The findings provide a useful reference for policy-makers to develop energy policies.

Participatory Mapping in Browns Canyon National Monument, Colorado (USA)

2017 ◽  
Vol 1 (1) ◽  
pp. 1-16
Author(s):  
John Harner ◽  
Lee Cerveny ◽  
Rebecca Gronewold
Keyword(s):  
Land Management ◽  
Planning Process ◽  
Management Plan ◽  
Bureau Of Land Management ◽  
National Monument ◽  
Resource Managers ◽  
Different Types ◽  
Us Forest Service ◽  
Natural Resource Managers

Natural resource managers need up-to-date information about how people interact with public lands and the meanings these places hold for use in planning and decision-making. This case study explains the use of public participatory Geographic Information System (GIS) to generate and analyze spatial patterns of the uses and values people hold for the Browns Canyon National Monument in Colorado. Participants drew on maps and answered questions at both live community meetings and online sessions to develop a series of maps showing detailed responses to different types of resource uses and landscape values. Results can be disaggregated by interaction types, different meaningful values, respondent characteristics, seasonality, or frequency of visit. The study was a test for the Bureau of Land Management and US Forest Service, who jointly manage the monument as they prepare their land management plan. If the information generated is as helpful throughout the entire planning process as initial responses seem, this protocol could become a component of the Bureau’s planning tool kit.

Sign in / Sign up

Export Citation Format

Share Document