Esempio n. 1
0
def set_damping_factor(net, niter, error):
    """
    Set the value of the damping factor (factor for the newton step width) from current results.

    :param net: the net for which to perform the pipeflow
    :type net: pandapipesNet
    :param niter:
    :type niter:
    :param error: an array containing the current residuals of all field variables solved for
    :return: No Output.

    EXAMPLE:
        set_damping_factor(net, niter, [error_p, error_v])
    """
    error_x0 = error[0]
    error_x1 = error[1]

    error_x0_increased = error_x0[niter] > error_x0[niter - 1]
    error_x1_increased = error_x1[niter] > error_x1[niter - 1]
    current_alpha = get_net_option(net, "alpha")

    if error_x0_increased and error_x1_increased:
        set_net_option(net, "alpha", current_alpha / 10 if current_alpha >= 0.1 else current_alpha)
    else:
        set_net_option(net, "alpha", current_alpha * 10 if current_alpha <= 0.1 else 1.0)

    return error_x0_increased, error_x1_increased
Esempio n. 2
0
def heat_transfer(net):
    max_iter, nonlinear_method, tol_p, tol_v, tol_t, tol_res = get_net_options(
        net, "iter", "nonlinear_method", "tol_p", "tol_v", "tol_T", "tol_res")

    # Start of nonlinear loop
    # ---------------------------------------------------------------------------------------------

    if net.fluid.is_gas:
        logger.info("Caution! Temperature calculation does currently not affect hydraulic "
                    "properties!")

    error_t, error_t_out, residual_norm = [], [], None

    set_net_option(net, "converged", False)
    niter = 0

    # This loop is left as soon as the solver converged
    while not get_net_option(net, "converged") and niter <= max_iter:
        logger.info("niter %d" % niter)

        # solve_hydraulics is where the calculation takes place
        t_out, t_out_old, t_init, t_init_old, epsilon = solve_temperature(net)

        # Error estimation & convergence plot
        delta_t_init = np.abs(t_init - t_init_old)
        delta_t_out = np.abs(t_out - t_out_old)

        residual_norm = (linalg.norm(epsilon) / (len(epsilon)))
        error_t.append(linalg.norm(delta_t_init) / (len(delta_t_init)))
        error_t_out.append(linalg.norm(delta_t_out) / (len(delta_t_out)))

        # Control of damping factor
        if nonlinear_method == "automatic":
            error_x0_increased, error_x1_increased = set_damping_factor(net, niter,
                                                                        [error_t, error_t_out])
            if error_x0_increased:
                net["_active_pit"]["node"][:, TINIT] = t_init_old
            if error_x1_increased:
                net["_active_pit"]["branch"][:, T_OUT] = t_out_old
        elif nonlinear_method != "constant":
            logger.warning("No proper nonlinear method chosen. Using constant settings.")

        # Setting convergence flag
        if error_t[niter] <= tol_t and error_t_out[niter] <= tol_t \
                and residual_norm < tol_res:
            if nonlinear_method != "automatic":
                set_net_option(net, "converged", True)
            elif get_net_option(net, "alpha") == 1:
                set_net_option(net, "converged", True)

        logger.debug("errorT: %s" % error_t[niter])
        logger.debug("alpha: %s" % get_net_option(net, "alpha"))
        niter += 1
        logger.debug("F: %s" % epsilon.round(4))
        logger.debug("T_init_: %s" % t_init.round(4))
        logger.debug("T_out_: %s" % t_out.round(4))

    write_internal_results(net, iterations_T=niter, error_T=error_t[niter - 1],
                           residual_norm_T=residual_norm)
    logger.info("---------------------------------------------------------------------------------")
    if get_net_option(net, "converged") is False:
        logger.warning("Maximum number of iterations reached but heat transfer solver did not "
                       "converge.")
        logger.info("Norm of residual: %s" % residual_norm)
    else:
        logger.info("Calculation completed. Preparing results...")
        logger.info("Converged after %d iterations." % niter)
        logger.info("Norm of residual: %s" % residual_norm)
        logger.info("tol_T: %s" % get_net_option(net, "tol_T"))

        net['converged'] = True

    return niter
Esempio n. 3
0
def hydraulics(net):
    max_iter, nonlinear_method, tol_p, tol_v, tol_t, tol_res = get_net_options(
        net, "iter", "nonlinear_method", "tol_p", "tol_v", "tol_T", "tol_res")

    # Start of nonlinear loop
    # ---------------------------------------------------------------------------------------------
    niter = 0
    create_internal_results(net)
    net["_internal_data"] = dict()

    # This branch is used to stop the solver after a specified error tolerance is reached
    error_v, error_p, residual_norm = [], [], None

    # This loop is left as soon as the solver converged
    while not get_net_option(net, "converged") and niter <= max_iter:
        logger.info("niter %d" % niter)

        # solve_hydraulics is where the calculation takes place
        v_init, p_init, v_init_old, p_init_old, epsilon = solve_hydraulics(net)

        # Error estimation & convergence plot
        dv_init = np.abs(v_init - v_init_old)
        dp_init = np.abs(p_init - p_init_old)

        residual_norm = (linalg.norm(epsilon) / (len(epsilon)))
        error_v.append(linalg.norm(dv_init) / (len(dv_init)))
        error_p.append(linalg.norm(dp_init / (len(dp_init))))

        # Control of damping factor
        if nonlinear_method == "automatic":
            error_x0_increased, error_x1_increased = set_damping_factor(net, niter,
                                                                        [error_p, error_v])
            if error_x0_increased:
                net["_active_pit"]["node"][:, PINIT] = p_init_old
            if error_x1_increased:
                net["_active_pit"]["branch"][:, VINIT] = v_init_old
        elif nonlinear_method != "constant":
            logger.warning("No proper nonlinear method chosen. Using constant settings.")

        # Setting convergence flag
        if error_v[niter] <= tol_v and error_p[niter] <= tol_p and residual_norm < tol_res:
            if nonlinear_method != "automatic":
                set_net_option(net, "converged", True)
            elif get_net_option(net, "alpha") == 1:
                set_net_option(net, "converged", True)

        logger.debug("errorv: %s" % error_v[niter])
        logger.debug("errorp: %s" % error_p[niter])
        logger.debug("alpha: %s" % get_net_option(net, "alpha"))
        niter += 1
    write_internal_results(net, iterations=niter, error_p=error_p[niter - 1],
                           error_v=error_v[niter - 1], residual_norm=residual_norm)

    logger.info("---------------------------------------------------------------------------------")
    if get_net_option(net, "converged") is False:
        logger.warning("Maximum number of iterations reached but hydraulics solver did not "
                       "converge.")
        logger.info("Norm of residual: %s" % residual_norm)
    else:
        logger.info("Calculation completed. Preparing results...")
        logger.info("Converged after %d iterations." % niter)
        logger.info("Norm of residual: %s" % residual_norm)
        logger.info("tol_p: %s" % get_net_option(net, "tol_p"))
        logger.info("tol_v: %s" % get_net_option(net, "tol_v"))
        net['converged'] = True

    net.pop("_internal_data", None)
    set_user_pf_options(net, hyd_flag=True)

    return niter