Facilitating sustainable development in Chile: a survey of suitable energy technologies
In: International journal of sustainable development & world ecology, Band 16, Heft 5, S. 322-331
ISSN: 1745-2627
10 Ergebnisse
Sortierung:
In: International journal of sustainable development & world ecology, Band 16, Heft 5, S. 322-331
ISSN: 1745-2627
In: International journal of sustainable development & world ecology, Band 19, Heft 4, S. 311-320
ISSN: 1745-2627
In: International Journal of Sustainable Society, Band 3, Heft 3, S. 225
ISSN: 1756-2546
In: Climate policy, Band 4, Heft 1, S. 45-63
ISSN: 1752-7457
In alignment with the European Union's legislation, Greece submitted its final 10-year National Energy and Climate Plan (NECP) in December 2019, setting more ambitious energy and climate targets than those originally proposed in the draft version of the document. Apart from higher penetration of renewable energy sources (RES), the final NECP projects also zero carbon use in power generation till 2030. Although decarbonization has long been regarded beneficial for economies that base their energy production on coal, as it is the case with Greece, the macroeconomic and societal ramifications of faster transitions to carbon-free economies remain highly unexplored. Under this context, in this paper, we soft-link energy models, namely Times-Greece and Primes, with a macroeconomic model, namely Global Trade Analysis Project (GTAP), to measure the effects of the final and draft NECPs on the Greek economy and evaluate the impact of higher decarbonization speeds. We find that the faster transition scenario displays both economic and societal merits, increasing Gross Domestic Product (GDP) and household income by about 1% and 7%, respectively.
BASE
Part 8: Management, Policies and Technologies in e/m-Services ; International audience ; E-government benchmarking is being conducted by various organizations but its assessment is based on a limited number of indicators and does not highlight the multidimensional nature of the electronically provided services. This paper outlines a multicriteria evaluation system based on four points of view: (1) infrastructures, (2) investments, (3) e-processes, and (4) users' attitude in order to evaluate European Union countries. In this paper, twenty one European Union countries are evaluated and ranked over their e-government progress. Their ranking is obtained through an additive value model which is assessed by an ordinal regression method and the use of the decision support system MIIDAS. In order to obtain robust evaluations, given the incomplete determination of inter-criteria model parameters, the extreme ranking analysis method, based on powerful mathematical programming techniques, has been applied to estimate each country's best and worst possible ranking position.
BASE
In: International journal of sustainable development & world ecology, Band 20, Heft 1, S. 1-8
ISSN: 1745-2627
In: International journal of decision sciences, risk and management: IJDSRM, Band 1, Heft 1/2, S. 36
ISSN: 1753-7177
In: Business process management journal, Band 9, Heft 2, S. 221-247
ISSN: 1758-4116
In the current competitive environment, each company faces a number of challenges: quick response to customers' demands, high quality of products or services, customers' satisfaction, reliable delivery dates, high efficiency, and others. As a result, during the last five years many firms have proceeded to the adoption of enterprise resource planning (ERP) solutions. ERP is a packaged software system, which enables the integration of operations, business processes and functions, through common data‐processing and communications protocols. However, the majority, if not all, of these systems do not support the production scheduling process that is of crucial importance in today's manufacturing and service industries. In this paper, the authors propose a knowledge‐based system for production‐scheduling that could be incorporated as a custom module in an ERP system. This system uses the prevailing conditions in the industrial environment in order to select dynamically and propose the most appropriate scheduling algorithm from a library of many candidate algorithms.
Investing in energy efficiency (EE) could play a crucial role in transitioning to a future economy, where sustainable growth will be the centre of attention. To reach such EE investments, a mobilisation of capital through the targeted use of funds, innovative schemes and standardisation tools for the respective key actors is required. The European Union Horizon 2020 Triple-A project could assist in securing EE investments that could meet their financial commitments. This manuscript provides a standardised methodology and tools to assess the involved risks and benchmarks the proposed investment ideas, helping investors and policymakers choose the most profitable solution. This manuscript summarises the methodology established, tools developed, and results that emerged from Triple-A's venture to mainstream EE financing. View Full-Text
BASE