Analysis of Renewable Integrated DG Investment Planning Based on Emission Cost

A medium voltage (MV) cable network is a substantial component of the distribution network. Present management of this grid segment is mainly based on the failure rate analysis, i.e., a rise in the number and kind of faults on the actual line means that its technical condition is getting worse. The efficiency of the power system is low and additional costs of repair works, supply interruption, difficulties in the investment planning and operation and maintenance works are necessary. The aim of the R&D works done in the realised project is to implement the management of the MV cable network based on the estimated condition of the individual cable line, obtained from diagnostic measurements. The diagnostic investigations of the cable lines are the reference. Many years of research work have led to the development of the Health Index based on diagnostic, technical and service data.

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User Portraits and Investment Planning Based on Accounting Data

2020 IEEE International Conference on Services Computing (SCC) ◽

10.1109/scc49832.2020.00059 ◽

2020 ◽

Author(s):

Yibing Wu ◽

Rongxuan Wang ◽

Wei Dai ◽

Shixuan Dong ◽

Xiaohe You ◽

...

Keyword(s):

Investment Planning ◽

Accounting Data

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Framework for optimization of long-term, multi-period investment planning of integrated urban energy systems

Applied Energy ◽

10.1016/j.apenergy.2021.116880 ◽

2021 ◽

Vol 292 ◽

pp. 116880

Author(s):

Iris van Beuzekom ◽

Bri-Mathias Hodge ◽

Han Slootweg

Keyword(s):

Energy Systems ◽

Investment Planning ◽

Urban Energy

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A Decade of Soft Computing Approaches in Power System Investment Planning

Journal of Physics Conference Series ◽

10.1088/1742-6596/1878/1/012042 ◽

2021 ◽

Vol 1878 (1) ◽

pp. 012042

Author(s):

S B Yaakob ◽

A S F Rahman ◽

N M Mukhtar ◽

M N Yaakob ◽

N Arbaiy ◽

...

Keyword(s):

Power System ◽

Soft Computing ◽

Investment Planning

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Classification of Technological Development Trends Based on the Analysis of US Patent Time Series. An Empirical Approach

Vestnik Tomskogo gosudarstvennogo universiteta Ekonomika ◽

10.17223/19988648/53/18 ◽

2021 ◽

pp. 251-278

Author(s):

Vladimir I. Karnyshev ◽

◽

Vladimir I. Avdzeyko ◽

Evgenia S. Paskal ◽

◽

...

Keyword(s):

Time Series ◽

New Technologies ◽

Practical Interest ◽

The United States ◽

Direct Access ◽

Investment Planning ◽

Short Term ◽

Development Trends ◽

Technical Problems

The forecasting of development trends and the timely revealing of new technical (technological) fields are the key prerequisite for an effective development of modern economy. Only reliable results of technological analysis (forecast) allow identifying new technologies, understanding the evolution of entire industries, carrying out strategic investment planning at the state level, and also planning R&D correctly. The aim of this work is to justify one of the possible approaches to the classification of technical (technological) fields in terms of assessing their relevance, novelty and short-term prospects. This approach is based on patent analysis, in particular, on the study of the time series features of US invention patents (1976-2018) for more than seventy-three thousand main groups (subgroups) of the 17th edition of the International Patent Classification (IPC17). The United States Patent and Trademark Office (USPTO) has been selected as the primary source of information because it is one of the world’s largest and constantly updated patent resources, providing direct access to full-text descriptions. In the authors’ opinion, a feature analysis of the US patent issue dynamics at time intervals (1976-2015, 2009-2018 and 2016-2018) allows dividing the IPC groups (subgroups) into the following three main clusters: “unpromising”, “promising” and “breakthrough”. In terms of the timely revealing of new, previously unknown, technologies or solutions in the technical field, or of the steadily growing technological trends, the “breakthrough” and “promising” subgroups are of the greatest practical interest. The article presents the results of an empirical classification of 71,266 subgroups (with a non-zero number of the issued patents since 1976 to 2018) in eight sections of the IPC17. These data may be useful for developers, researchers and R&D planners in solving complex scientific and technical problems, as well as for making short-term forecast estimates of a specific technical (technological) field development.

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Brisa Experience – Risk Assessment and Capital Investment Planning at Brisa

IABSE Symposium, Guimarães 2019: Towards a Resilient Built Environment Risk and Asset Management ◽

10.2749/guimaraes.2019.0317 ◽

2019 ◽

Author(s):

Sónia Santos Santiago

Keyword(s):

Risk Assessment ◽

Capital Investment ◽

Investment Planning ◽

Maintenance Strategies ◽

Informed Decisions ◽

Level Of Risk

<p>This topic addresses the model developed by Brisa to assess risk and to prioritize actions on assets, aiming to enable informed decisions on the setup, maintenance, decommissioning and disposal of assets, providing awareness on the level of risk vs profitability and the capability to identify the optimum mix of capital investment and operations & maintenance strategies, along the asset lifecycle.</p>

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Design of Emission Allocation Plans and Their Effects on Production and Investment Planning in the Electricity Sector

Emissions Trading ◽

10.1007/978-3-642-20592-7_5 ◽

2011 ◽

pp. 71-84 ◽

Cited By ~ 1

Author(s):

Dominik Möst ◽

Massimo Genoese ◽

Anke Eßer-Frey ◽

Otto Rentz

Keyword(s):

Electricity Sector ◽

Investment Planning ◽

Emission Allocation ◽

Allocation Plans

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Expansion of renewable energy resources and energyconscious behaviour at the University of Szeged

E3S Web of Conferences ◽

10.1051/e3sconf/20184803006 ◽

2018 ◽

Vol 48 ◽

pp. 03006 ◽

Cited By ~ 1

Author(s):

László Gyarmati

Keyword(s):

Renewable Energy ◽

Energy Use ◽

Energy Resources ◽

Solar Panels ◽

Renewable Energy Resources ◽

Investment Planning ◽

Heating And Cooling ◽

Natural Energy ◽

Technological Developments ◽

The University

At the University of Szeged, as the greenest University of Hungary, the sustainability project is built on two pillars. One of them is based on events and communication campaigns held regularly for the University citizens to prompt environmental-conscious behaviour, whereas the other is built on technological developments and on the extensive use of renewable energy resources. Thus the development of built environment and social responsibility both support the adequacy to sustainability requirements. The spreading of the effective solutions to making more and more buildings of the University energy efficient, numerous investments using renewable energy are also responsible for the decrease of the natural energy use of the institution contrary to the fact that the number of the buildings of the University of Szeged is continually increasing. It can be stated that the University of Szeged is committed to using renewable energy which is taken into consideration of each investment planning. The following examples confirm it: using geothermal cascade system for heating and cooling of five university bulidings, solar panels on 24 builidings and a unique technology of using the heat of wastewater to cool and heat one of the main bulidings of the university, namely the Study and Information Centre.

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