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Smart energy management and recovery towards Sustainable Energy System Optimisation with bio-based renewable energy

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2020.110385

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  1. EU project Sustainable Process Integration Laboratory - SPIL [CZ.02.1.01/0.0/0.0/15_ 003/0000456]
  2. Czech Republic Ministry of Education, Youth and Sport, the Operational Programme Research and Development, Education, Priority 1: Strengthening capacity for quality research under collaboration agreement
  3. Universiti Technologi Malaysia

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This Virtual Special Issue features extensions of papers presented at the 22nd Conference of Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES'19) related to Renewable and Sustainable Energy Reviews, covering topics such as energy recovery, bio-based renewable energy, energy system management, and data-driven energy management. The ultimate goal of these developments is to bridge the gaps for achieving the average global temperatures rise target set by the United Nations Framework Convention on Climate Change.
This Virtual Special Issue contains extensions of some of the papers presented at the 22nd Conference of Process Integration, Modelling and Optimisation for Energy Saving and Pollution Reduction (PRES'19) in Crete, Greece on the 20 to 23 October 2019 related to the scope of Renewable and Sustainable Energy Reviews. The works are not limited to review articles; most of them have significant contributions to knowledge development in the field of sustainable energy. The energy recovery and intensification section discusses nano-enhanced phase change materials and fluids, heat exchanger network synthesis and heat pump integration in industrial processes. Bio-based renewable energy covers biomass from algae, seaweed, municipal solid waste and food waste, which are converted into valuable products by anaerobic digestion, co-cracking, incineration and fermentation. The articles in the energy system management section focus on batteries, energy efficiency rating, low carbon transitions and wave energy integration technology screening. Lastly, the data-driven energy management section includes a few reviews on the implementation of Artificial Intelligence, Internet of Things and Industry 4.0 for the chemical industry from system to equipment levels. These developments have the same ultimate goal to bridge the gaps for achieving the average global temperatures rise target set by the United Nations Framework Convention on Climate Change.

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