98/04342 Estimating construction costs and schedules—experience with power generation projects in developing countries

1998 ◽  
Vol 39 (5) ◽  
pp. 403
Author(s):  
Dario Feliciangeli ◽  
Krzysztof Mierzwa ◽  
Mariana Antunes

<p>The combination of zero carbon emission infrastructures and low construction costs has become the most important challenge for civil engineers. Specifically, in developing countries, governments and communities should demand infrastructures which embrace a different design methodology using low impact materials and innovative building sequences to achieve sustainable, safe and accelerated constructions. The proposed footbridge, located in Central Africa, is a timber truss based on local materials which extends the timber stress lamination technology to all its parts. The resulting system is a structure made of small and light timber components that ease the construction and reduce the cost, representing a feasible solution for pedestrian bridges in developing countries. This design underlines the importance of concepts like constructability, sustainability and safety which should be shared by any construction in the 21th century.</p>


Energy ◽  
2018 ◽  
Vol 165 ◽  
pp. 198-209 ◽  
Author(s):  
Yassin Yehia Rady ◽  
Matteo V. Rocco ◽  
M.A. Serag-Eldin ◽  
Emanuela Colombo

Author(s):  
Chen Zhang ◽  
Tao Yang ◽  
Wei Gao ◽  
Yong Wang

Abstract The growing resource shortage and environmental concerns have forced mankind to develop and utilize renewable energy sources. The penetration of solar photovoltaic (PV) power in the electricity market has been increasing over the past few decades due to its low construction costs, zero pollution nature, and enormous support from governments. However, the intermittency and randomness of PV power also cause huge grid fluctuations which limit its integration in the system. An accurate forecasting of solar PV power generation and optimization of operation and maintenance (O&M) management are essential for further development of the solar PV farms. A great number of related researches have been done in recent years. A review of PV power generation forecasting techniques together with their brief applications on the optimization of O&M management is presented in this paper. Machine learning methods are thought to be the most suitable at the present stage because of their ease of implementation and their capability in processing non-linear, complex data sets. Typical forecasting accuracy measures are summarized and further applications of PV power forecasting on the O&M management are also presented.


2016 ◽  
Vol 2016 ◽  
pp. 1-10
Author(s):  
Luke Rey Santillan ◽  
Kenn Brylle Senen ◽  
Robert Wamilda ◽  
Lanndon Ocampo ◽  
Rafael Seva ◽  
...  

This paper attempts to provide an optimum loading schedule of power generating units with the least cost by solving a unit commitment (UC) problem and to present good estimates of cost differences when UC problem is not applied. UC is a fundamental optimization problem of power generation systems which determines the optimum schedule of generating units which minimizes generation costs. However, for small power generation firms which are situated in developing countries, UC-based problems are poorly understood if not implemented and the scheduling of generating units is based on some methodologies which may provide results that are not optimal. Thus, a case study in a small power generation firm in central Philippines is carried out to elucidate these objectives. The case requires a solution of the mixed-integer nonlinear programming (MINLP) problem. Results show that the proposed UC-based problem yields optimal costs and the cost disparity from the current scheduling scheme is approximately at 27% which may be considered as potential cost savings. This shows that UC-based problem provides a reliable platform in achieving minimal generation costs. These results are significant to decision-makers particularly in small power generation firms and to engineering practitioners in the Philippines and in some developing countries as these provide an overview of the disparity of cost figures of not implementing UC.


Author(s):  
Norman Gwangwava

Data and information has become a central productive and strategic asset, and the success of the organization depends on its ability to gather, produce, maintain, and disseminate this information for its benefit and those in its value chain. The chapter details the results from a study concerning different types of software packages used by manufacturing and engineering firms in developing countries. The participants were categorized into six industries: academic, power generation, manufacturing chemicals, manufacturing engineering, mining, and transportation. The study revealed that 97% of the companies had a software package installed for their operations. The “big six” software packages found to be in use are Syspro, Sage, SAP, ELLIPSE, Navision, and SCADA DELTA. In the manufacturing sector, Syspro has the largest market share: 86%. ELLIPSE is largely used in the mining sectors. Companies spend about $20,000 as initial investment on the software and about $2,000 annually on license fees. More than 50% of the software users are satisfied with the performance of their software packages.


Author(s):  
Vipin Kumar ◽  
Mantosh Kumar

Power is the basic key for growth of any country’s economy. The increased demand of electricity, need to optimize the utilization of power generation capacity and increase in the interconnections are the major issues with which power sector is dealing with. Energy consumption per person is also rising tremendously in developing countries. However, installing a new power plant cannot be a solution every time. Dense population, availability of land, initial and installation cost can be the major issues in this case. Huge transfer of power from generating plants to load centre at long distance with bulky transmission lines is causing to upgrade voltage class to Extra High Voltage (EHV) from High Voltage (HV). [1]


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