Biomass supply chain environmental and socio-economic analysis: 40-Years comprehensive review of methods, decision issues, sustainability challenges, and the …
Biomass is a valuable renewable source of energy as an alternative to fossil fuels. The main
barriers in biomass and biofuel development are feedstock high cost, lack of reliable supply …
barriers in biomass and biofuel development are feedstock high cost, lack of reliable supply …
Renewable energy: Present research and future scope of Artificial Intelligence
SK Jha, J Bilalovic, A Jha, N Patel, H Zhang - Renewable and Sustainable …, 2017 - Elsevier
The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …
way for human welfare while still protecting the environment and its living creatures. The …
Biomass supply chain network design: An optimization-oriented review and analysis
Optimal network design is a key factor in the enhancement of the economic, environmental,
and social performance and efficiency of the biomass supply chain (BSC), and this is why it …
and social performance and efficiency of the biomass supply chain (BSC), and this is why it …
Methods to optimise the design and management of biomass-for-bioenergy supply chains: A review
Biomass supply chain optimisation is essential to overcome barriers and uncertainties that
may inhibit the development of a sustainable and competitive bioenergy market. The …
may inhibit the development of a sustainable and competitive bioenergy market. The …
Applications of artificial intelligence‐based modeling for bioenergy systems: A review
M Liao, Y Yao - GCB Bioenergy, 2021 - Wiley Online Library
Bioenergy is widely considered a sustainable alternative to fossil fuels. However, large‐
scale applications of biomass‐based energy products are limited due to challenges related …
scale applications of biomass‐based energy products are limited due to challenges related …
Which method to use? An assessment of data mining methods in Environmental Data Science
Data Mining (DM) is a fundamental component of the Data Science process. Over recent
years a huge library of DM algorithms has been developed to tackle a variety of problems in …
years a huge library of DM algorithms has been developed to tackle a variety of problems in …
A genetic algorithm-based matheuristic for hydrogen supply chain network problem with two transportation modes and replenishment cycles
This paper addresses a hydrogen supply chain network problem (HSCNP) with two
transportation modes and replenishment cycles. For determining an optimal hydrogen …
transportation modes and replenishment cycles. For determining an optimal hydrogen …
Water distribution system computer‐aided design by agent swarm optimization
Optimal design of water distribution systems (WDSs), including the sizing of components,
quality control, reliability, renewal, and rehabilitation strategies, etc., is a complex problem in …
quality control, reliability, renewal, and rehabilitation strategies, etc., is a complex problem in …
Sustainable olefin supply chain network design under seasonal feedstock supplies and uncertain carbon tax rate
The growing environmental consciousness resulted from global climate changes has
aroused petrochemical industries to search for the renewable alternatives for fossil fuels …
aroused petrochemical industries to search for the renewable alternatives for fossil fuels …
[HTML][HTML] Multi-objective particle swarm optimization applied to water distribution systems design: an approach with human interaction
Designers of optimal water distribution systems, as is the case with most optimization
problems, must consider more than one objective and a number of constraints. In this paper …
problems, must consider more than one objective and a number of constraints. In this paper …