Monte Carlo Method Application for Environmental Risks Impact Assessment in Investment Projects

Olaru, Marieta; Sandru, Mircea; Pirnea, Ionela Carmen

doi:10.1016/j.sbspro.2013.12.568

Cited by 25 publications

(8 citation statements)

References 5 publications

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“…If there is a need to make a strategic decision (whether initiated by the risk management service or by the top management), joint assessment of the situation will be carried out, methods for decision implementation will be selected and the tasks will be established for the specialist substructures (connections 6-8). Then, the selected methods will be applied, the results will be monitored and the data will be communicated to the risk management service, based on which a conclusion regarding the efficiency of the measures taken will be made [7,11]. Level 2.…”

Section: Resultsmentioning

confidence: 99%

Risk Management in the Implementation of Smart Building Projects

Kankhva

2017

MATEC Web Conf.

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Abstract.This article contains the results of a study of the risk control structure in the implementation of smart building projects, which are presented herein in the form of an operational risk management mechanism developed by the author and an improved definition of the risk management system. The mechanism is developed based on the analysis of a review of the current state of the construction sector and the existing organizational structures of construction companies, as well as based on the identification of new necessary functions and objectives of risk management systems. The results of the study can be used in the process of development and integration of risk management systems by the existing construction companies specialized in the construction of smart buildings.

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Section: Resultsmentioning

confidence: 99%

Risk Management in the Implementation of Smart Building Projects

Kankhva

2017

MATEC Web Conf.

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“…Using the optimal configurations achieved in the second stage, the Monte-Carlo Simulation is applied in the third stage to fully consider the possibilities of various scenarios. The objective of the Monte-Carlo Simulation is to obtain the results under various sets of conditions and attach a probability that the system will achieve certain levels of performance [15,16]. A detailed discussion of Monte-Carlo Simulation and its application to DES is shown in [14,17].…”

Section: Optimization Methodsmentioning

confidence: 99%

Three-stage optimization method for distributed energy system design under uncertainty

Wang

Peng

et al. 2021

Therm sci

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Reasonable capacity configurations of distributed energy system are issues which need to be discussed. Determinate design without considering variations in energy load and energy prices can result in non-achievement of project targets during its service life. Therefore, a design method that takes into account uncertain factors takes precedence over other methods. In this paper, a three-stage optimization method is proposed to provide theoretical guidance on the optimization of combined cooling, heating and power (CCHP) system configurations. The first two stages link the optimization of the operation strategy and equipment capacities simultaneously under current load and energy prices. The Monte-Carlo Simulation is applied in the third stage to fully consider the effects of various possible scenarios, and the Tabu search algorithm (TS) was introduced for system optimization. The comprehensive benefits include energy consumption, economy, and emission level. These were taken into consideration in the objective function. Moreover, a detailed design process was presented to illustrate the application of the proposed method. In conclusion, the proposed method is not only suitable for the design of CCHP system, but could easily extend to other energy system easily.

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“…To solve this problem is possible through the market researches with following localization of investment risks at the realization of development projects. In addition, there are problems of "adequate" taxation and excessive complexity of obtaining permits securities for their realization [6].…”

Section: Fig 2 Grouping Of Risks and Their Factorsmentioning

confidence: 99%

“…Risks connected with volatility of the financial situation of investors in modern Russian conditions and the likelihood of risks from the part of the selected contractors has particular importance on the projects organization [6].…”

Section: Fig 3 External Factors Which Has An Influence On Investmenmentioning

confidence: 99%

Influence of the Risk-Contributing Factors on the Financing of the Investment Project for Building of Intelligent Buildings

2017

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Abstract. This article provides the generic classification of risks of the investment projects for the construction of intelligent buildings which differ by the detachment of the subjective perception of risk by the investor. Risk and uncertainty were justified as system characteristics of the investment projects for the construction of intelligent buildings. Characteristics of the development was given in the context of project management. Methodical schemes of the development of the investment project risks were specified on the basis of interconnection of risk and project effectiveness. Risk management procedure at realization of the developer project was developed.

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Monte Carlo Method Application for Environmental Risks Impact Assessment in Investment Projects

Cited by 25 publications

References 5 publications

Risk Management in the Implementation of Smart Building Projects

Risk Management in the Implementation of Smart Building Projects

Three-stage optimization method for distributed energy system design under uncertainty

Influence of the Risk-Contributing Factors on the Financing of the Investment Project for Building of Intelligent Buildings

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