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KB7043 Multidisciplinary Design & Engineering Optimisation Assignment Help

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KB7043 Multidisciplinary Design & Engineering Optimisation Assignment - Northumbria University, Newcastle, UK

Assessment Title: Individual Project - Design Optimisation Problems

Learning Outcomes assessed in this assessment -

LO1. Appraise key features of modern engineering design concepts, theories and methods and develop critiques of them.

LO2. Plan the design optimisation processes for complex engineering design problems.

LO3. Conduct essential calculations for reliability driven design problems

LO4. Formulate for a given design problem the corresponding optimisation problem, identifying the best applicable search method and carrying out essential calculations to find the optimum solution.

LO5. Carry out design under uncertainties for a given problem, making critical decisions and performing essential calculations.

Assessment Task - Choose a design optimisation problem from the attached list of design problems. Write a report with no more than 7000 words and no more than 15 A4 pages in the main body.

Design Optimisation Problems - Select ONE of the options below and follow the instructions given on the assignment brief.

Problem 1 - Optimal sizing of a standalone Wind-PV-Battery-Diesel hybrid renewable energy system

For an arbitrary site with known load and resource profile, find optimum size of each component (including inverter/converter) leading to minimum levelised cost of energy subject to a series of constraints including a number of arbitrary end- user requirements.

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Problem 2 - Design optimisation of a flat finned heat exchanger

For an arbitrary capacity (heat transfer rate in W), ambient temperature and maximum allowable temperature, find the optimal material and size for the finned heat sink below leading to minimum cost.

Problem 3 - Design optimisation of an adaptive passive beam vibration absorber

For an arbitrary set of data (beam length, cross-section and material), find the optimal configuration and characteristics of a string-mass absorber that maximises the absorber operation range.

Problem 4 - Design optimisation of a nanofluid flat solar collector

Find the optimum configuration (tube type, tube size, tube surface roughness, type of nanoparticle, size of nanoparticle, mass flow rate, tube distribution configuration, glazing type and size, insulation size and type) of a nanofluid flat solar collector which maximises the efficiency per unit area.

Problem 5 - Design optimisation of hybrid photovoltaic-thermal collectors

Find the optimum configuration (see figure below) of a hybrid photovoltaic-thermal collector integrated in a domestic hot water heating system with the objective of cost.

Note - No more than 7,000 words or 15 A4 pages, with single line spacing, 11pt Calibri (Body) font. Referencing Style: British Standard or Harvard. Students will make use of MATLAB for their coding.

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