A fuzzy levelised energy cost method for renewable energy technology assessment

Renewable energy project development is highly complex and success is by no means guaranteed. Decisions are often made with approximate or uncertain information yet the current methods employed by decision-makers do not necessarily accommodate this. Levelised energy costs (LEC) are one such commonly applied measure utilised within the energy industry to assess the viability of potential projects and inform policy. The research proposes a method for achieving this by enhancing the traditional discounting LEC measure with fuzzy set theory. Furthermore, the research develops the fuzzy LEC (F-LEC) methodology to incorporate the cost of financing a project from debt and equity sources. Applied to an example bioenergy project, the research demonstrates the benefit of incorporating fuzziness for project viability, optimal capital structure and key variable sensitivity analysis decision-making. The proposed method contributes by incorporating uncertain and approximate information to the widely utilised LEC measure and by being applicable to a wide range of energy project viability decisions. © 2013 Elsevier Ltd. All rights reserved.

Iowa State Government Technology Assessment Project, 1995

The State of Iowa is conducting an as5essment of Information Technology (IT) in the Executive Branch. The purpose of this assessment is to gather data on costs, applications, systems, utilization, operations, hardware assets, administration and activities associated with the provision of IT services. To accomplish this, two leading technology vendors conducted an intense assessment. These vendors, Integrated System Solutions Corporation (ISSC), and Electronic Data Systems (EDS) analyzed extensive data provided by the various ·agencies and conducted on-site interviews during the week of November 13, 1995. Additionally, in the first week of December, the American Federation of State, County, and Municipal Employees (AFSCME) Iowa Council 61 sponsored an assessment. These assessments are included as appendices B, C, and D to this report.

Technology assessment in Non-PTA countries: an overview of recent developments in Europe

Paper based on the text to be published in Moniz, A.B. and Okuwada, K. (2016), Technology Assessment in Japan and Europe, Karlsruhe, KIT Scientific Publishing

Assessment of international technologies for Superfund applications : technology identification and selection /

Mode of access: Internet.

An Assessment of U.S. competitiveness in high technology industries.

Item 231-B-1

An Assessment of maritime trade and technology : summary.

Mode of access: Internet.

Impact of technology uptake on an Australian electricity distribution network

This paper presents simulation results for future electricity grids using an agent-based model developed with MODAM (MODular Agent-based Model). MODAM is introduced and its use demonstrated through four simulations based on a scenario that expects a rise of on-site renewable generators and electric vehicles (EV) usage. The simulations were run over many years, for two areas in Townsville, Australia, capturing variability in space of the technology uptake, and for two charging methods for EV, capturing people's behaviours and their impact on the time of the peak load. Impact analyses of these technologies were performed over the areas, down to the distribution transformer level, where greater variability of their contribution to the assets peak load was observed. The MODAM models can be used for different purposes such as impact of renewables on grid sizing, or on greenhouse gas emissions. The insights gained from using MODAM for technology assessment are discussed.

Assessment of novel gear designs to reduce interactions between species

This project tested modified gillnets designed by commercial net fishers in the Queensland East Coast Inshore Finfish Fishery (ECIFF) to try and identify gears that would mitigate and/or improve interactions between fishing nets and Species of Conservation Interest (SOCI). The study also documents previously unrecognised initiatives by pro-active commercial net fishers that reflect a conservation-minded approach to their fishing practices, which is the opposite of what is perceived publicly. Between 2011 and 2014, scientists from James Cook University and the Queensland Department of Agriculture and Fisheries teamed with commercial fishers representing the Queensland Seafood Industry Association and the Moreton Bay Seafood Industry Association to conduct field trials of various modified net designs under normal fishery conditions. Trials were conducted in Moreton Bay (southern part of the fishery) and Bowling Green Bay (northern) and tested different net designs developed by fishers to improve the nature of interactions between net fishing gear and SOCI.