Induced Technological Change in a Limited Foresight Optimization Model

The threat of global warming calls for a major transformation of the energy system the coming century. Modeling technological change is an important factor in energy systems modeling. Technological change may be treated as induced by climate policy or as exogenous. We investigate the importance of induced technological change (ITC) in GET-LFL, an iterative optimization model with limited foresight that includes learning-by-doing. Scenarios for stabilization of atmospheric CO2 concentrations at 400, 450, 500 and 550 ppm are studied. We find that the introduction of ITC reduces the total net present value of the abatement cost over this century by 3-9% compared to a case where technological learning is exogenous. Technology specific polices which force the introduction of fuel cell cars and solar PV in combination with ITC reduce the costs further by 4-7% and lead to significantly different technological solutions in different sectors, primarily in the transport sector.Energy system model, Limited foresight, Climate policy, Endougenous learning, Technological lock-in

THE NEW GLOBALIZATION ERA AND DIGITALIZATION DEBATE: AN ECONOMISTS PERSPECTIVE

During the post-world war 11 period, industrialization was an irresistable trend, made global by the dynamics of international markets.Today, the industrial siciety faces the risks created by its own success. Its growth has been accompanied by a voracious use of natural resources and by increasing inequalities(insecurites)between industrial countries and the rest of the world. Infact, Industrialization to date has been based on energy and it has been and continues to be based on the burning of fossil fuels and the attendant emission of carbon dioxide, which can cause climate change. Thus, a vision of a new society in which humans live in harmony with each other and with nature is very imperative. This transition is described as digitalization(or knowledge revolution) driven by knowledge and by the technologies for processing and communicating it). This therefore requires new institutions and policies to reach a sustainable outcome by 2050.globalization digitalization knowledge revolution inequalities industrialization information emmissions insecurities

An Evolutionary Economic Analysis of Energy Transitions

Evolutionary economics offers clear insights into the mechanisms that underlie innovations, structural change and transitions. It is therefore of great value for the framing of policies aimed at fostering a transition to a sustainable development. This paper offers an overview of the main insights of evolutionary economics and derives core concepts, namely ‘diversity’, ‘innovation’, ‘selection environment’, ‘bounded rationality’, ‘path dependence and lock-in’, and ‘coevolution’. These concepts are subsequently used to formulate guidelines for the role of the government and the design of public policies, such as the learning from historical technological pathways and the creation of an extended level playing field. In addition, the developments of certain energy technologies are examined in detail within the adopted evolutionary economics framework. Three particular technologies received attention, namely fuel cells, nuclear fusion, and photovoltaic cells.

MCDA for sustainability assessment – insights to Helmholtz Association activities

The "MCDA for sustainability assessment – insights to Helmholtz Association activities" Working Paper aims to compile and reflect previous and on-going work within the Helmholtz Association related to MCDA, in particular, to present use cases and key methodological aspects. It has a focus on but is not limited to energy technologies and systems and is mainly based on the presentations held at the online workshop “Multi criteria decision analysis for sustainability assessment of energy technologies and systems”. The workshop was organized within the activities of the Helmholtz program ESD Topic 1 "Energy System Transformation" and took place on November 22nd, 2021

Progress in Green Energies, Sustainable Development and the Environment

Globally Buildings Are Responsible For Approximately 40 Of The Total World Annual Energy Consumption Most Of This Energy Is For The Provision Of Lighting Heating Cooling And Air Conditioning Increasing Awareness Of The Environmental Impact Of Co2 Nox And Cfcs Emissions Triggered A Renewed Interest In Environmentally Friendly Cooling And Heating Technologies Under The 1997 Montreal Protocol Governments Agreed To Phase Out Chemicals Used As Refrigerants That Have The Potential To Destroy Stratospheric Ozone It Was Therefore Considered Desirable To Reduce Energy Consumption And Decrease The Rate Of Depletion Of World Energy Reserves And Pollution Of The Environment This Article Discusses A Comprehensive Review Of Energy Sources Environment And Sustainable Development This Includes All The Renewable Energy Technologies Energy Efficiency Systems Energy Conservation Scenarios Energy Savings And Other Mitigation Measures Necessary To Reduce Climate Chang

SusTrainable: Promoting Sustainability as a Fundamental Driver in Software Development Training and Education. 2nd Teacher Training, January 23-27, 2023, Pula, Croatia. Revised lecture notes

This volume exhibits the revised lecture notes of the 2nd teacher training organized as part of the project Promoting Sustainability as a Fundamental Driver in Software Development Training and Education, held at the Juraj Dobrila University of Pula, Croatia, in the week January 23-27, 2023. It is the Erasmus+ project No. 2020-1-PT01-KA203-078646 - Sustrainable. More details can be found at the project web site https://sustrainable.github.io/ One of the most important contributions of the project are two summer schools. The 2nd SusTrainable Summer School (SusTrainable - 23) will be organized at the University of Coimbra, Portugal, in the week July 10-14, 2023. The summer school will consist of lectures and practical work for master and PhD students in computing science and closely related fields. There will be contributions from Babe\c{s}-Bolyai University, E\"{o}tv\"{o}s Lor\'{a}nd University, Juraj Dobrila University of Pula, Radboud University Nijmegen, Roskilde University, Technical University of Ko\v{s}ice, University of Amsterdam, University of Coimbra, University of Minho, University of Plovdiv, University of Porto, University of Rijeka. To prepare and streamline the summer school, the consortium organized a teacher training in Pula, Croatia. This was an event of five full days, organized by Tihana Galinac Grbac and Neven Grbac. The Juraj Dobrila University of Pula is very concerned with the sustainability issues. The education, research and management are conducted with sustainability goals in mind. The contributions in the proceedings were reviewed and provide a good overview of the range of topics that will be covered at the summer school. The papers in the proceedings, as well as the very constructive and cooperative teacher training, guarantee the highest quality and beneficial summer school for all participants.Comment: 85 pages, 8 figures, 3 code listings and 1 table; editors: Tihana Galinac Grbac, Csaba Szab\'{o}, Jo\~{a}o Paulo Fernande

An Overview of Carbon Footprint Mitigation Strategies. Machine Learning for Societal Improvement, Modernization, and Progress

Among the most pressing issues in the world today is the impact of globalization and energy consumption on the environment. Despite the growing regulatory framework to prevent ecological degradation, sustainability continues to be a problem. Machine learning can help with the transition toward a net-zero carbon society. Substantial work has been done in this direction. Changing electrical systems, transportation, buildings, industry, and land use are all necessary to reduce greenhouse gas emissions. Considering the carbon footprint aspect of sustainability, this chapter provides a detailed overview of how machine learning can be applied to forge a path to ecological sustainability in each of these areas. The chapter highlights how various machine learning algorithms are used to increase the use of renewable energy, efficient transportation, and waste management systems to reduce the carbon footprint. The authors summarize the findings from the current research literature and conclude by providing a few future directions

Challenges towards renewable energy: an exploratory study from the Arabian Gulf region

Considering the importance of energy for social and economic development, access to clean, affordable and reliable energy has been adopted as one of the United Nations sustainable development goals that all countries aim to achieve by 2030. However, much of the world's energy is still produced from fossil fuels and thus the progress towards clean and renewable energy is slow. This paper explores the key challenges towards renewable energy in Gulf Cooperation Council countries blessed with plenty of oil and gas reserves. The key challenges identified through literature review were ranked using a quantitative approach through the data collected from a selective sample across the six countries. These challenges in order of importance were found to be policies and regulations, manpower experience and competencies, renewable energy education, public awareness, costs and incentives for renewable energy and government commitment. The findings could be helpful to decision makers and government organisations in the region to develop strategies to overcome these identified challenges