scholarly journals Multi-Objective Predictive Control Optimization with Varying Term Objectives: A Wind Farm Case Study

Processes ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 778 ◽  
Author(s):  
Clara M. Ionescu ◽  
Constantin F. Caruntu ◽  
Ricardo Cajo ◽  
Mihaela Ghita ◽  
Guillaume Crevecoeur ◽  
...  
Keyword(s):  
Predictive Control ◽  
Wind Farm ◽  
Cost Effective ◽  
Optimality Criteria ◽  
Operating Conditions ◽  
Optimization Strategy ◽  
Multi Objective ◽  
Efficiency Cost

This paper introduces the incentive of an optimization strategy taking into account short-term and long-term cost objectives. The rationale underlying the methodology presented in this work is that the choice of the cost objectives and their time based interval affect the overall efficiency/cost balance of wide area control systems in general. The problem of cost effective optimization of system output is taken into account in a multi-objective predictive control formulation and applied on a windmill park case study. A strategy is proposed to enable selection of optimality criteria as a function of context conditions of system operating conditions. Long-term economic objectives are included and realistic simulations of a windmill park are performed. The results indicate the global optimal criterium is no longer feasible when long-term economic objectives are introduced. Instead, local sub-optimal solutions are likely to enable long-term energy efficiency in terms of balanced production of energy and costs for distribution and maintenance of a windmill park.

Multi-Objective Modeling of Leading-Edge Serrations Applied to Low-Pressure Axial Fans

2020 ◽  
Vol 142 (11) ◽  
Author(s):  
Till M. Biedermann ◽  
M. Reich ◽  
C. O. Paschereit
Keyword(s):  
Low Pressure ◽  
High Accuracy ◽  
Operating Conditions ◽  
Optimization Approach ◽  
Optimization Strategy ◽  
Latin Hypercube Design ◽  
Axial Fan ◽  
Multi Objective ◽  
Target Values ◽  
Leading Edges

Abstract A novel modeling strategy is proposed which allows high-accuracy predictions of aerodynamic and aeroacoustic target values for a low-pressure axial fan, equipped with serrated leading edges. Inspired by machine learning processes, the sampling of the experimental space is realized by use of a Latin hypercube design plus a factorial design, providing highly diverse information on the analyzed system. The effects of four influencing parameters (IP) are tested, characterizing the inflow conditions as well as the serration geometry. A total of 65 target values in the time and frequency domains are defined and can be approximated with high accuracy by individual artificial neural networks. Furthermore, the validation of the model against fully independent test points within the experimental space yields a remarkable fit, even for the spectral distribution in 1/3-octave bands, proving the ability of the model to generalize. A metaheuristic multi-objective optimization approach provides two-dimensional Pareto optimal solutions for selected pairs of target values. This is particularly important for reconciling opposing trends, such as the noise reduction capability and aerodynamic performance. The chosen optimization strategy also allows for a customized design of serrated leading edges, tailored to the specific operating conditions of the axial fan.

Evaluating the Impacts of Sludge Incineration Using a Risk Based Approach

1990 ◽  
Vol 22 (12) ◽  
pp. 75-83
Author(s):  
Ann E. Farrell ◽  
Bert Michalczyk ◽  
Anaya Nance
Keyword(s):  
Treatment Plant ◽  
Cost Effective ◽  
Chemical Stabilization ◽  
Sludge Incineration ◽  
Capacity Evaluation ◽  
Handling Methods ◽  
Handling Method ◽  
Sanitary District

The viability of continued sludge incineration at Central Contra Costa Sanitary District wastewater treatment plant is presented as a case study. A risk based approach was utilized to assess the long-term feasibility and cost of continued incineration compared to other available sludge handling methods. Three major tasks were conducted as part of the study: an incinerator capacity evaluation; a risk assessment; and, an evaluation of solids handling technologies. The study focused on toxics most often encountered in sewage incinerator emissions, including arsenic, beryllium, cadmium, chromium, lead, mercury, nickel, poly-chlorinated dibenzo-p-dioxins, and polychlorinated dibenzo-p-furans. The results of the study indicate that continued incineration of sludge is viable for Central Contra Costa Sanitary District, and that the most cost effective solids handling method is incineration using two duty units with backup provided by chemical stabilization. To confirm costs and design criteria, pilot testing of two potential back-up methods is currently being conducted.These methods are chemical stabilization and indirect drying.

Decomposition-Based Multi-Objective Optimization of Energy Noise Trade-Off in a Wind Farm

2018 ◽  
pp. 177-205
Author(s):  
Prateek Mittal ◽  
Kishalay Mitra
Keyword(s):  
Alternative Energy ◽  
Wind Farm ◽  
Pareto Frontier ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Additional Information ◽  
Gradient Based ◽  
Standards And Guidelines ◽  
Hybrid Methodology

A multi-objective optimization case study of maximization and minimization of energy generation and noise propagation is considered here. A novel hybrid methodology, as a combination of probabilistic variable decomposed multi-objective evolutionary algorithm (VdRBNSGA-II) and the newly developed deterministic gradient based Pareto frontier construction approach (nD-NNC), has been proposed to determine the optimum layout of turbines (numbers and locations) inside a wind farm. In contrast to previous case studies, the proposed approach is able to yield the alternative energy-noise solutions along with the additional information on corresponding turbine layouts (numbers and locations) on a single Pareto front. As a result, it provides a decision maker with an ample of choices to choose from different competing solutions based on the existing standards and guidelines.

Multi-Objective Optimal Performance of a Hybrid CPSD-SE/HWT System for Microgrid Power Generation

2022 ◽  
pp. 166-210
Author(s):  
Bashar Shboul ◽  
Ismail Al-Arfi ◽  
Stavros Michailos ◽  
Derek Ingham ◽  
Godfrey T. Udeh ◽  
...  
Keyword(s):  
Economic Performance ◽  
Dynamic Performance ◽  
Electrical Power ◽  
Operating Conditions ◽  
Multi Objective ◽  
Cost Of Energy ◽  
One Year ◽  
Net Power Output ◽  
Dynamic Performance Analysis

A new integrated hybrid solar thermal and wind-based microgrid power system is proposed. It consists of a concentrated parabolic solar dish Stirling engine, a wind turbine, and a battery bank. The electrical power curtailment is diminished, and the levelised cost of energy is significantly reduced. To achieve these goals, the present study conducts a dynamic performance analysis over one year of operation. Further, a multi-objective optimisation model based on a genetic algorithm is implemented to optimise the techno-economic performance. The MATLAB/Simulink® software was used to model the system, study the performance under various operating conditions, and optimise the proposed hybrid system. Finally, the model has been implemented for a specific case study in Mafraq, Jordan. The system satisfies a net power output of 1500 kWe. The developed model has been validated using published results. In conclusion, the obtained results reveal that the optimised model of the microgrid can substantially improve the overall efficiency and reduce the levelised cost of electricity.

InDiPres: a statewide collaborative approach to digital preservation

2017 ◽  
Vol 33 (3) ◽  
pp. 221-230
Author(s):  
Cinda Ann May
Keyword(s):  
Cultural Memory ◽  
Digital Preservation ◽  
Cost Effective ◽  
Collaborative Group ◽  
Community Based ◽  
Preservation Solution ◽  
Content Type ◽  
Collaborative Community

Purpose The purpose of this case study is to demonstrate how cultural memory organizations in Indiana used Library Services Technology Act grant funding as seed money to form a collaborative group to attain an affordable and sustainable digital preservation solution. Design/methodology/approach This case study relates how concern for digital content created across Indiana by an array of cultural memory organizations led to a multi-year quest to establish a community-based, cost-effective, open-source digital preservation solution to address a common problem. Findings Interest in a collaborative community-based digital preservation solution, especially among small- and mid-sized under-resourced organizations, exists across the spectrum of Indiana cultural heritage institutions, but education and commitment are key to the success of a statewide solution. Originality/value While focusing on cultural memory organizations in Indiana, the case study also provides information about the process of establishing a digital preservation collaborative to leverage resources to provide a cost-effective and sustainable long-term solution, particularly for small- to mid-sized institutions.

A New Energy Optimization Strategy for Pumping Operation in Water Distribution Systems

2012 ◽  
Author(s):  
Dhafar Al-Ani ◽  
Saeid Habibi
Keyword(s):  
Distribution System ◽  
Energy Cost ◽  
Distribution Systems ◽  
Water Distribution ◽  
Water Distribution System ◽  
Water Distribution Systems ◽  
Energy Optimization ◽  
Operating Conditions ◽  
Optimization Strategy ◽  
Multi Objective

As time goes on, more and more operating-modes based on changing demand profiles will be compiled to enrich the range of feasible solutions for a water distribution system. This implies the conservation of energy consumed by a water pumping station and improves the ability for energy optimization. Another important goal was improving safety, reliability, and maintenance cost. In this paper, three important goals were addressed: cost-effectives, safety, and self-sustainability operations of water distribution systems. In this work, the objective functions to optimize were total electrical energy cost, maintenance costs, and reservoir water level variation while preserving the service provided to water clients. To accomplish these goals, an effective Energy Optimization Strategy (EOS) that manages trade-off among operational cost, system safety, and reliability was proposed. Moreover, the EOS aims at improving the operating conditions (i.e., pumping schedule) of an existing network system (i.e., with given capacities of tanks) and without physical changes in the infrastructure of the distribution systems. The new strategy consisted of a new Parallel Multi-objective Particle Swarm optimization with Adaptive Search-space Boundaries (P-MOPSO-ASB) and a modified EPANET. This has several advantages: obtaining a Pareto-front with solutions that are quantitatively equally good and providing the decision maker with the opportunity to qualitatively compare the solutions before their implementation into practice. The multi-objective optimization approach developed in this paper follows modern applications that combine an optimization algorithm with a network simulation model by using full hydraulic simulations and distributed demand models. The proposed EOS was successfully applied to a rural water distribution system, namely Saskatoon West. The results showed that a potential for considerable cost reductions in total energy cost was achieved (approximately % 7.5). Furthermore, the safety and the reliability of the system are preserved by using the new optimal pump schedules.

scholarly journals Bigger is better: Improved nature conservation and economic returns from landscape-level mitigation

2016 ◽  
Vol 2 (7) ◽  
pp. e1501021 ◽  
Author(s):  
Christina M. Kennedy ◽  
Daniela A. Miteva ◽  
Leandro Baumgarten ◽  
Peter L. Hawthorne ◽  
Kei Sochi ◽  
...  
Keyword(s):  
Surface Water Quality ◽  
Cost Effective ◽  
Project Planning ◽  
Economic Returns ◽  
Additional Species ◽  
Forest Code ◽  
State Models ◽  
Landscape Level

Impact mitigation is a primary mechanism on which countries rely to reduce environmental externalities and balance development with conservation. Mitigation policies are transitioning from traditional project-by-project planning to landscape-level planning. Although this larger-scale approach is expected to provide greater conservation benefits at the lowest cost, empirical justification is still scarce. Using commercial sugarcane expansion in the Brazilian Cerrado as a case study, we apply economic and biophysical steady-state models to quantify the benefits of the Brazilian Forest Code (FC) under landscape- and property-level planning. We find that FC compliance imposes small costs to business but can generate significant long-term benefits to nature: supporting 32 (±37) additional species (largely habitat specialists), storing 593,000 to 2,280,000 additional tons of carbon worth $69 million to $265 million ($ pertains to U.S. dollars), and marginally improving surface water quality. Relative to property-level compliance, we find that landscape-level compliance reduces total business costs by $19 million to $35 million per 6-year sugarcane growing cycle while often supporting more species and storing more carbon. Our results demonstrate that landscape-level mitigation provides cost-effective conservation and can be used to promote sustainable development.

Application of a variable-fidelity hydrodynamic optimization strategy in fuel-efficient ship design

2018 ◽  
Vol 233 (18) ◽  
pp. 6293-6306
Author(s):  
Hassan Zakerdoost ◽  
Hassan Ghassemi
Keyword(s):  
Carbon Dioxide ◽  
Fuel Consumption ◽  
Early Stage ◽  
Carbon Dioxide Emission ◽  
Cost Effective ◽  
Ship Design ◽  
Operating Conditions ◽  
Fuel Oil ◽  
Optimization Strategy ◽  
Variable Fidelity

Now more than ever, the amount of fuel a ship consumes and the amount of carbon dioxide emitted from a ship have attracted many researchers’ attention towards efficient and cost-effective ship designs. Therefore, fuel consumption and carbon dioxide emission reduction are two main targets of almost all industrial and scientific communities. The key scope of this article is to describe an innovative methodology for the variable-fidelity design optimization of a ship’s hull-propeller system under multiple operating conditions in early-stage ship design. Non-uniform rational basis spline technique and the efficient multi-objective evolutionary algorithm based on decomposition are, respectively, used to generate variants of hull-propeller designs and minimize the fuel consumption and carbon dioxide emission as objective functions of the proposed problem. The variable fidelity numerical solvers are also applied for the hydrodynamic evaluation of the design performance during optimization. Three different specific fuel oil consumption data provided by the engine manufacturers Wartsila, MAN B&W and Caterpillar are used to optimize a medium-sized bulk carrier driven by a well-known propeller as the initial design. The numerical results show an improvement in performance of the optimal hull-propeller designs.

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