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A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".
Deadline for manuscript submissions: 31 December 2021.
Special Issue Editors
Interests: waste management; artificial intelligence; machine learning; E-waste
Interests: remote sensing; waste treatment; digitization
Special Issues and Collections in MDPI journals
Special Issue Information
Dear Colleagues,
Since 2015, the United Nations (UN) Member States have adopted a set of 17 Sustainable Development Goals (SDGs) that have become a reference agenda for addressing a variety of global challenges. Several goals like "decent work and economic growth" and "industry, innovation and infrastructure," refer to technology and collective efforts as a way of achieving "peace and prosperity for people and the planet, now and into the future."
The emergence of the 4th Industrial Revolution revolutionizes the way we address the solid waste problem by improving environmental protection using innovative solutions. In recent years, novel technologies such as artificial intelligence, machine learning, deep learning, and digitization have been developed as intelligence supports to transform the problem of solid waste management into zero-waste by applying a resource recovery paradigm towards a circular economy (CE). The applicability of different smart and sustainable technological solutions and how to achieve the 2030 UN Agenda are essential to promote the rapid development of sustainability. The benefits of such smart technologies should be based on the nexus of sustainability and cost-effectiveness to minimize potential harmful impacts to the environment and maximize benefits.
To complement the body of knowledge, this Special Issue welcomes a variety of contributions in the form of research work and/or review articles in the field of environmental protection. We welcome contributions that include solid waste management, water treatment, and air pollution control that particularly apply (but are not limited to) the following technologies: artificial intelligence, machine learning, deep learning, cloud computing, or digitization.
Dr. Tonni Agustiono Kurniawan
Dr. Ram Avtar
Dr. Deepak Singh
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- deep learning
- digitization
- machine learning
- waste management
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Harnessing Landfill Gas for Electricity: A Strategy to Reduce Greenhouse Gas Emissions in Indonesia in the era of 4th Industrial Revolution
Authors: Tonni Agustiono Kurniawan; Ram Avtar; Deepak Singh; Mohd Hafiz Dzarfan Othman; Wenchao Xue; Goh Hui Hwang; Ahmad B. Albadarin; Tjandra Setiadi; Saeed Shirazian
Affiliation: College of the Environment and Ecology, Xiamen University, Fujian 361102, PR China.
Faculty of Environmental Earth Science, Hokkaido University, Sapporo 060-0810, Japan.
Department of Geography and Resource Management, Chinese University of Hong Kong, Hong Kong.
Advanced Membrane Technology Research Centre (AMTEC), School of Chemical and Energy Engineering, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
Department of Energy, Environment, and Climate Change, School of Environment, Resources, and Development, Asian Institute of Technology, PO Box 4, Klong Luang, Pathumthani 12120, Thailand.
School of Electrical Engineering, Guangxi University, Nanning 530004, Guangxi Province, PR China.
Bernal Institute, Dept. Chemical Sciences, University of Limerick, Limerick V94 T9PX Ireland.
Center for Environmental Studies, Bandung Institute of Technology, Bandung 40135, Indonesia.
Abstract: Due to increasing demands for fossil fuels in recent years, Indonesia needs alternative energy to diversify its energy supply. In this regards, renewable energy such as landfill gas (LFG) has become one of the most attractive options to sustain Indonesia’s continued economic development. This feasibility study aims at harnessing LFG generated by the Bantar gebang landfill (Indonesia) for energy/fuel and electricity, thus reducing greenhouse gases (GHG) emissions in Jakarta region. The study seeks to demonstrate the added value of unused municipal solid waste (MSW) in generating sustainable energy, resulting from methane emissions in the landfill. It is anticipated that the project would help Jakarta reduce GHG emissions, addressing global warming problems leveling the long-term.
To accomplish the goals, we combined landfill operations and a biogas plant in the Bantar gebang landfill (Jakarta). Based on the amount of methane generated monthly both by the local landfill and the biogas plant, the plant is expected to be able to produce at least 1 MWh of electricity, an equivalent of supplying 2,000 homes per month. By demonstrating the technical feasibility and economical viability of MSW for LFG production, this project would lead to the construction of additional biogas plants at reduced costs to meet the national energy demand, thus helping Indonesia to reduce its energy burden on economy.