Search results for "Sensitivity analysi"
showing 10 items of 110 documents
Optimization of trigeneration systems by Mathematical Programming: influence of plant scheme and boundary conditions
2014
The large potential for energy saving by cogeneration and trigeneration in the building sector is scarcely exploited due to a number of obstacles in making the investment attractive. The analyst often encounters difficulties in identifying optimal design and operation strategies, since a number of factors, either endogenous (i.e. related with the energy load profiles) and exogenous (i.e. related with external conditions like energy prices and support mechanisms), influence the economic viability. In this paper a decision tool is presented, that simultaneously optimizes the plant lay-out, the sizes of the main components and their operation strategy. For a specific building in the hotel sect…
Optimization of trigeneration systems by Mathematical Programming: Influence of plant scheme and boundary conditions
2015
Abstract The large potential for energy saving by cogeneration and trigeneration in the building sector is scarcely exploited due to a number of obstacles in making the investments attractive. The analyst often encounters difficulties in identifying optimal design and operation strategies, since a number of factors, either endogenous (i.e. related with the energy load profiles) and exogenous (i.e. related with external conditions like energy prices and support mechanisms), influence the economic viability. In this paper a decision tool is adopted, which represents an upgrade of a software analyzed in previous papers; the tool simultaneously optimizes the plant lay-out, the sizes of the main…
ANOVA-MOP: ANOVA Decomposition for Multiobjective Optimization
2018
Real-world optimization problems may involve a number of computationally expensive functions with a large number of input variables. Metamodel-based optimization methods can reduce the computational costs of evaluating expensive functions, but this does not reduce the dimension of the search domain nor mitigate the curse of dimensionality effects. The dimension of the search domain can be reduced by functional anova decomposition involving Sobol' sensitivity indices. This approach allows one to rank decision variables according to their impact on the objective function values. On the basis of the sparsity of effects principle, typically only a small number of decision variables significantl…
Building energy performance forecasting: A multiple linear regression approach
2019
Abstract Different ways to evaluate the building energy balance can be found in literature, including comprehensive techniques, statistical and machine-learning methods and hybrid approaches. The identification of the most suitable approach is important to accelerate the preliminary energy assessment. In the first category, several numerical methods have been developed and implemented in specialised software using different mathematical languages. However, these tools require an expert user and a model calibration. The authors, in order to overcome these limitations, have developed an alternative, reliable linear regression model to determine building energy needs. Starting from a detailed …
Economic assessment of sicilian loquat orchards
2015
The majority of Italian production of loquat (Eriobotrya japonica) derives from the Palermo province, along the northern Sicilian coast. However, this area is characterized by family orchards, traditional cultural techniques, and inadequate commercial organization. These appear to affect negatively the production costs and reduce the farmersâ income, decreasing the competitiveness of Sicilian loquat orchards. This study evaluates the economic viability of Sicilian loquat orchards by means of cost-benefit analysis (CBA). In particular, for the investment assessment some financial indicators have been calculated such as net present value (NPV), discounted payback time (DPBT), and internal r…
ECONOMIC EVALUATION OF MEDITERRANEAN SEA BASS FARMS ACCORDING TO MARKET TYPOLOGY
2014
Italy represents one of the main production countries of European sea bass and, in this context, Sicilian fish farms play a key role. Since in the last years the economic development has led to an increasingly globalized market, in this paper it has been carried out an economic evaluation of two Sicilian European sea bass farms according to the market typology in which their product is allocated: competitive and oligopolistic market. Moreover, a sensitivity analysis allows to understand how market prices could influence farm economic performances. Results showed higher profit for farm that sold product in oligopolistic market, even if sensitivity analysis highlighted that both farms were ve…
Which nitrogen fertilization techniques and crop traits to promote biological weed regulation by competition?
2020
International audience; Background and AimsThe necessary reduction of herbicide use may result in a residual weed flora in arable fields. Moreover, the useof mineral fertilizer must be reduced for environmental reasons. Thus, crop-weed competition for nitrogen mightincrease.Nitrogen competition among plants is driven by soil nitrogen availability and plants traits related to nitrogen nutrition.Selecting species for their nitrogen nutrition traits and adapting nitrogen fertilization (rate, date, number ofnitrogen applications, straw burial or export) could change competitive relationships between plants. Weeds withhigh nitrogen nutrition requirements are often hard to manage and could be ham…
Using SMAA-2 method with dependent uncertainties for strategic forest planning
2006
Abstract Uncertainty included in forest variables is normally ignored in forest management planning. When the uncertainty is accounted for, it is typically assumed to be independently distributed for the criteria measurements of different alternatives. In forest management planning, the factors introducing the uncertainty can be classified into three main sources: the errors in the basic forestry data, the uncertainty of the (relative) future prices of timber, and the uncertainty in predicting the forest development. Due to the nature of these error sources, most of the involved uncertainties can be assumed to be positively correlated across the alternative management plans and/or criteria.…
Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data.
2019
Knowledge of key variables driving the top of the atmosphere (TOA) radiance over a vegetated surface is an important step to derive biophysical variables from TOA radiance data, e.g., as observed by an optical satellite. Coupled leaf-canopy-atmosphere Radiative Transfer Models (RTMs) allow linking vegetation variables directly to the at-sensor TOA radiance measured. Global Sensitivity Analysis (GSA) of RTMs enables the computation of the total contribution of each input variable to the output variance. We determined the impacts of the leaf-canopy-atmosphere variables into TOA radiance using the GSA to gain insights into retrievable variables. The leaf and canopy RTM PROSAIL was coupled with…
Economic performance and risk of farming systems specialized in perennial crops: An analysis of Italian hazelnut production
2019
Abstract Assessing farm profitability and economic risk is important to support farmers' decisions. Several factors affect yields and product prices, in turn influencing farmers' income level and economic risk. However, the literature has often neglected to explicitly account for the role of product quality. This is particularly important for crops such as hazelnut because farmers' prices vary according to the quality of the harvested product. Furthermore, it seems fundamental to disentangle the role of parameters influencing farm results, noticeably yield, product price and quality. This is because farmers select their risk management tools to satisfy their needs, but these are often suita…